//-----------------------------------------------------------------------------------------
astra::CFloat32Data3DMemory *
allocateDataObject(const std::string & sDataType,
const mxArray * const geometry, const mxArray * const data,
const mxArray * const unshare, const mxArray * const zIndex)
{
astra::CFloat32Data3DMemory* pDataObject3D = NULL;
bool bUnshare = true;
if (unshare)
{
if (!mexIsScalar(unshare))
{
mexErrMsgTxt("Argument 5 (read-only) must be scalar");
return NULL;
}
// unshare the array if we're not linking read-only
bUnshare = !(bool)mxGetScalar(unshare);
}
mwIndex iZ = 0;
if (zIndex)
{
if (!mexIsScalar(zIndex))
{
mexErrMsgTxt("Argument 6 (Z) must be scalar");
return NULL;
}
iZ = (mwSignedIndex)mxGetScalar(zIndex);
}
// SWITCH DataType
if (sDataType == "-vol")
{
// Read geometry
astra::Config* cfg = structToConfig("VolumeGeometry3D", geometry);
astra::CVolumeGeometry3D* pGeometry = new astra::CVolumeGeometry3D();
if (!pGeometry->initialize(*cfg))
{
mexErrMsgTxt("Geometry class not initialized. \n");
delete pGeometry;
delete cfg;
return NULL;
}
delete cfg;
// If data is specified, check dimensions
if (data && !mexIsScalar(data))
{
if (! (zIndex
? checkDataSize(data, pGeometry, iZ)
: checkDataSize(data, pGeometry)) )
{
mexErrMsgTxt("The dimensions of the data do not match those specified in the geometry. \n");
delete pGeometry;
return NULL;
}
}
// Initialize data object
#ifdef USE_MATLAB_UNDOCUMENTED
if (unshare) {
CFloat32CustomMemoryMatlab3D* pHandle =
new CFloat32CustomMemoryMatlab3D(data, bUnshare, iZ);
// Initialize data object
pDataObject3D = new astra::CFloat32VolumeData3DMemory(pGeometry, pHandle);
}
else
{
pDataObject3D = new astra::CFloat32VolumeData3DMemory(pGeometry);
}
#else
pDataObject3D = new astra::CFloat32VolumeData3DMemory(pGeometry);
#endif
delete pGeometry;
}
else if (sDataType == "-sino" || sDataType == "-proj3d" || sDataType == "-sinocone")
{
// Read geometry
astra::Config* cfg = structToConfig("ProjectionGeometry3D", geometry);
// FIXME: Change how the base class is created. (This is duplicated
// in Projector3D.cpp.)
std::string type = cfg->self->getAttribute("type");
astra::CProjectionGeometry3D* pGeometry = 0;
if (type == "parallel3d") {
pGeometry = new astra::CParallelProjectionGeometry3D();
} else if (type == "parallel3d_vec") {
pGeometry = new astra::CParallelVecProjectionGeometry3D();
} else if (type == "cone") {
pGeometry = new astra::CConeProjectionGeometry3D();
} else if (type == "cone_vec") {
pGeometry = new astra::CConeVecProjectionGeometry3D();
} else {
mexErrMsgTxt("Invalid geometry type.\n");
return NULL;
}
if (!pGeometry->initialize(*cfg)) {
mexErrMsgTxt("Geometry class not initialized. \n");
delete pGeometry;
delete cfg;
return NULL;
}
delete cfg;
// If data is specified, check dimensions
if (data && !mexIsScalar(data))
{
if (! (zIndex
? checkDataSize(data, pGeometry, iZ)
: checkDataSize(data, pGeometry)) )
{
mexErrMsgTxt("The dimensions of the data do not match those specified in the geometry. \n");
delete pGeometry;
return NULL;
}
}
// Initialize data object
#ifdef USE_MATLAB_UNDOCUMENTED
if (unshare)
{
CFloat32CustomMemoryMatlab3D* pHandle =
new CFloat32CustomMemoryMatlab3D(data, bUnshare, iZ);
// Initialize data object
pDataObject3D = new astra::CFloat32ProjectionData3DMemory(pGeometry, pHandle);
}
else
{
pDataObject3D = new astra::CFloat32ProjectionData3DMemory(pGeometry);
}
#else
pDataObject3D = new astra::CFloat32ProjectionData3DMemory(pGeometry);
#endif
delete pGeometry;
}
else
{
mexErrMsgTxt("Invalid datatype. Please specify '-vol' or '-proj3d'. \n");
return NULL;
}
// Check initialization
if (!pDataObject3D->isInitialized())
{
mexErrMsgTxt("Couldn't initialize data object.\n");
delete pDataObject3D;
return NULL;
}
return pDataObject3D;
}
void mexFunction(int nlhs, mxArray *out[], int nrhs, const mxArray *input[])
{
// Checking number of arguments
if(nlhs > 3){
mexErrMsgTxt("Function has three return values");
return;
}
if(nrhs != 4){
mexErrMsgTxt("Usage: mexFelzenSegment(UINT8 im, double sigma, double c, int minSize)");
return;
}
if(!mxIsClass(input[0], "uint8")){
mexErrMsgTxt("Only image arrays of the UINT8 class are allowed.");
return;
}
// Load in arrays and parameters
UInt8* matIm = (UInt8*) mxGetPr(input[0]);
int nrDims = (int) mxGetNumberOfDimensions(input[0]);
int* dims = (int*) mxGetDimensions(input[0]);
double* sigma = mxGetPr(input[1]);
double* c = mxGetPr(input[2]);
double* minSize = mxGetPr(input[3]);
int min_size = (int) *minSize;
int height = dims[0];
int width = dims[1];
int imSize = height * width;
// Convert to image.
int idx;
image<rgb>* theIm = new image<rgb>(width, height);
for (int x = 0; x < width; x++){
for (int y = 0; y < height; y++){
idx = x * height + y;
imRef(theIm, x, y).r = matIm[idx];
imRef(theIm, x, y).g = matIm[idx + imSize];
imRef(theIm, x, y).b = matIm[idx + 2 * imSize];
}
}
// KOEN: Disable randomness of the algorithm
srand(12345);
// Call Felzenswalb segmentation algorithm
int num_css;
//image<rgb>* segIm = segment_image(theIm, *sigma, *c, min_size, &num_css);
double* segIndices = segment_image_index(theIm, *sigma, *c, min_size, &num_css);
//mexPrintf("numCss: %d\n", num_css);
// The segmentation index image
out[0] = mxCreateDoubleMatrix(dims[0], dims[1], mxREAL);
double* outSegInd = mxGetPr(out[0]);
// Keep track of minimum and maximum of each blob
out[1] = mxCreateDoubleMatrix(num_css, 4, mxREAL);
double* minmax = mxGetPr(out[1]);
for (int i=0; i < num_css; i++)
minmax[i] = dims[0];
for (int i= num_css; i < 2 * num_css; i++)
minmax[i] = dims[1];
// Keep track of neighbouring blobs using square matrix
out[2] = mxCreateDoubleMatrix(num_css, num_css, mxREAL);
double* nn = mxGetPr(out[2]);
// Copy the contents of segIndices
// Keep track of neighbours
// Get minimum and maximum
// These actually comprise of the bounding boxes
double currDouble;
int mprev, curr, prevHori, mcurr;
for(int x = 0; x < width; x++){
mprev = segIndices[x * height]-1;
for(int y=0; y < height; y++){
//mexPrintf("x: %d y: %d\n", x, y);
idx = x * height + y;
//mexPrintf("idx: %d\n", idx);
//currDouble = segIndices[idx];
//mexPrintf("currDouble: %d\n", currDouble);
curr = segIndices[idx];
//mexPrintf("curr: %d\n", curr);
outSegInd[idx] = curr; // copy contents
//mexPrintf("outSegInd: %f\n", outSegInd[idx]);
mcurr = curr-1;
// Get neighbours (vertical)
//mexPrintf("idx: %d", curr * num_css + mprev);
//mexPrintf(" %d\n", curr + num_css * mprev);
//mexPrintf("mprev: %d\n", mprev);
nn[(mcurr) * num_css + mprev] = 1;
nn[(mcurr) + num_css * mprev] = 1;
// Get horizontal neighbours
//mexPrintf("Get horizontal neighbours\n");
if (x > 0){
prevHori = outSegInd[(x-1) * height + y] - 1;
nn[mcurr * num_css + prevHori] = 1;
nn[mcurr + num_css * prevHori] = 1;
}
// Keep track of min and maximum index of blobs
//mexPrintf("Keep track of min and maximum index\n");
if (minmax[mcurr] > y)
minmax[mcurr] = y;
if (minmax[mcurr + num_css] > x)
minmax[mcurr + num_css] = x;
if (minmax[mcurr + 2 * num_css] < y)
minmax[mcurr + 2 * num_css] = y;
if (minmax[mcurr + 3 * num_css] < x)
minmax[mcurr + 3 * num_css] = x;
//mexPrintf("Mprev = mcurr");
mprev = mcurr;
}
}
// Do minmax plus one for Matlab
for (int i=0; i < 4 * num_css; i++)
minmax[i] += 1;
delete theIm;
delete [] segIndices;
return;
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
// Check output argument
if (nlhs != 1) {
mexErrMsgTxt("Expecting one output argument.");
return;
}
// Check input arguments
if (nrhs < 2) {
mexErrMsgTxt("Expecting at least two input arguments.");
return;
}
// Check if input matrix and rhs are double precision
if (!mxIsDouble(prhs[0]) || !mxIsSparse(prhs[0])) {
mexErrMsgTxt("Expecting sparse matrix in double precision.");
return;
}
if (!mxIsDouble(prhs[1])) {
mexErrMsgTxt("Expecting rhs in double precision.");
return;
}
double tol = 1e-6;
mwSize maxIter = 10000;
if (nrhs > 2) tol = mxGetScalar(prhs[2]);
if (nrhs > 3) maxIter = mxGetScalar(prhs[3]);
// Get matrix arrays
mwIndex *mw_row = mxGetIr(prhs[0]);
mwIndex *mw_col_ptr = mxGetJc(prhs[0]);
double *mw_val = mxGetPr(prhs[0]);
// Get matrix sizes
int nrow = int(mxGetN(prhs[0]));
int ncol = int(mxGetM(prhs[0]));
int nnz = int(mw_col_ptr[nrow]);
int *row = NULL;
int *col_ptr = NULL;
double *val = NULL;
paralution::allocate_host(nnz, &val);
paralution::allocate_host(nnz, &row);
paralution::allocate_host(nrow+1, &col_ptr);
// copy needed due to diff types
for (int i=0; i<nnz; ++i) {
row[i] = mw_row[i];
val[i] = mw_val[i];
}
for (int i=0; i<nrow+1; ++i)
col_ptr[i] = mw_col_ptr[i];
// Get rhs
double *mw_rhs = mxGetPr(prhs[1]);
double *rhs = NULL;
paralution::allocate_host(nrow, &rhs);
for (int i=0; i<nrow; ++i)
rhs[i] = mw_rhs[i];
// Allocate output vector
plhs[0] = mxCreateDoubleMatrix(nrow, 1, mxREAL);
double *sol = mxGetPr(plhs[0]);
/*
// Time measurement
double tick, tack;
tick = paralution::paralution_time();
*/
// Initialize PARALUTION
paralution::init_paralution();
// Create PARALUTION data structures
paralution::LocalMatrix<double> A;
paralution::LocalVector<double> b;
paralution::LocalVector<double> x;
// Fill PARALUTION data
// For symmetric matrices CSC == CSR
A.SetDataPtrCSR(&col_ptr, &row, &val, "A", nnz, ncol, nrow);
b.SetDataPtr(&rhs, "b", ncol);
x.Allocate("x", nrow);
// Solver
paralution::CG<paralution::LocalMatrix<double>, paralution::LocalVector<double>, double> ls;
// Preconditioner
// paralution::MultiColoredILU<paralution::LocalMatrix<double>, paralution::LocalVector<double>, double> p;
paralution::Jacobi<paralution::LocalMatrix<double>, paralution::LocalVector<double>, double> p;
ls.SetOperator(A);
ls.SetPreconditioner(p);
ls.Init(0.0, tol, 1e8, maxIter);
// Build solver and preconditioner
ls.Build();
ls.MoveToAccelerator();
A.MoveToAccelerator();
b.MoveToAccelerator();
x.MoveToAccelerator();
x.Zeros();
// Disable PARALUTION printing
//ls.Verbose(0);
// Verbose printing
ls.Verbose(1);
A.info();
/*
tack = paralution::paralution_time();
std::cout << "PARALUTION::Building time: " << (tack-tick)/1000000. << "sec.\n";
tick = paralution::paralution_time();
*/
// Solve Ax=b
ls.Solve(b, &x);
/*
tack = paralution::paralution_time();
std::cout << "PARALUTION::Solving time: " << (tack-tick)/1000000. << "sec.\n";
*/
ls.Clear();
A.Clear();
b.Clear();
double *ptr_sol = NULL;
x.MoveToHost();
x.LeaveDataPtr(&ptr_sol);
for (int i=0; i<nrow; ++i)
sol[i] = ptr_sol[i];
paralution::free_host(&ptr_sol);
paralution::stop_paralution();
return;
}
void mexFunction(int nlhs,mxArray *plhs[],int nrhs,const mxArray *prhs[])
{
double *x, *h, *yl, *yh, *Lr;
intptr_t m, n, mh, nh, h_col, h_row, lh, i, j, L;
double mtest, ntest;
/* check for correct # of input variables */
if (nrhs>4){
mexErrMsgTxt("There are at most 4 input parameters allowed!");
return;
}
if (nrhs<3){
mexErrMsgTxt("There are at least 3 input parameters required!");
return;
}
yl = mxGetPr(prhs[0]);
n = mxGetN(prhs[0]);
m = mxGetM(prhs[0]);
yh = mxGetPr(prhs[1]);
nh = mxGetN(prhs[1]);
mh = mxGetM(prhs[1]);
h = mxGetPr(prhs[2]);
h_col = mxGetN(prhs[2]);
h_row = mxGetM(prhs[2]);
if (h_col>h_row)
lh = h_col;
else
lh = h_row;
if (nrhs == 4){
L = (intptr_t) *mxGetPr(prhs[3]);
if (L < 0)
mexErrMsgTxt("The number of levels, L, must be a non-negative integer");
}
else /* Estimate L */ {
i=n;j=0;
while (even(i)){
i=(i>>1);
j++;
}
L=m;i=0;
while (even(L)){
L=(L>>1);
i++;
}
if(min(m,n) == 1)
L = max(i,j);
else
L = min(i,j);
if (L==0){
mexErrMsgTxt("Maximum number of levels is zero; no decomposition can be performed!");
return;
}
}
/* check for consistency of rows and columns of yl, yh */
if (min(m,n) > 1){
if((m != mh) | (3*n*L != nh)){
mexErrMsgTxt("Dimensions of first two input matrices not consistent!");
return;
}
}
else{
if((m != mh) | (n*L != nh)){
mexErrMsgTxt("Dimensions of first two input vectors not consistent!");{
return;
}
}
}
/* Check the ROW dimension of input */
if(m > 1){
mtest = (double) m/pow(2.0, (double) L);
if (!isint(mtest))
mexErrMsgTxt("The matrix row dimension must be of size m*2^(L)");
}
/* Check the COLUMN dimension of input */
if(n > 1){
ntest = (double) n/pow(2.0, (double) L);
if (!isint(ntest))
mexErrMsgTxt("The matrix column dimension must be of size n*2^(L)");
}
plhs[0] = mxCreateDoubleMatrix(m,n,mxREAL);
x = mxGetPr(plhs[0]);
if (nrhs < 4){
plhs[1] = mxCreateDoubleMatrix(1,1,mxREAL);
Lr = mxGetPr(plhs[1]);
*Lr = L;
}
MIRDWT(x, m, n, h, lh, L, yl, yh);
}
void compute(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[], const int atria_preprocessing_given, METRIC dummy)
{
long i,j,n,k; /* loop variables */
/* handle matrix I/O */
const long N = mxGetM(prhs[0]);
const long dim = mxGetN(prhs[0]);
const double* p = (double *)mxGetPr(prhs[0]);
const long R = max(mxGetM(prhs[1]), mxGetN(prhs[1]));
const double* ref = (double *)mxGetPr(prhs[1]);
const double relative_range = (double) *((double *)mxGetPr(prhs[2]));
const long past = (long) *((double *)mxGetPr(prhs[3]));
if (N < 1) {
mexErrMsgTxt("Data set must consist of at least two points (row vectors)");
return;
}
if (dim < 2) {
mexErrMsgTxt("Data points must be at least of dimension two");
return;
}
if ((mxGetN(prhs[1]) == 0) || (mxGetM(prhs[1]) == 0)) {
mexErrMsgTxt("Wrong reference indices given");
return;
}
if (R < 1) {
mexErrMsgTxt("At least one reference index or point must be given");
return;
}
for (i=0; i < R; i++) {
if ((ref[i] < 1) || (ref[i]>N)) {
mexErrMsgTxt("Reference indices out of range");
return;
}
}
point_set<METRIC> points(N,dim, p);
ATRIA< point_set<METRIC> >* searcher = 0;
#ifdef MATLAB_MEX_FILE
if (atria_preprocessing_given) {
searcher = new ATRIA< point_set<METRIC> >(points, prhs[-1]); // this constructor used the data from the preprocessing
if (searcher->geterr()) {
delete searcher;
searcher = 0;
}
}
#endif
if (searcher == 0) {
searcher = new ATRIA< point_set<METRIC> >(points);
}
if (searcher->geterr()) {
mexErrMsgTxt("Error preparing searcher");
return;
}
double range;
if (relative_range > 0)
range = relative_range * searcher->data_set_radius(); // compute the maximal search radius using information about attractor size
else
range = fabs(relative_range); // if relative_range is negativ, use it's value (without sign) as maximal search radius
mexPrintf("Number of reference points : %d\n", R);
mexPrintf("Upper bound for attractor size : %f\n", 2 * searcher->data_set_radius());
mexPrintf("Maximal search radius : %f\n", range);
plhs[0] = mxCreateDoubleMatrix(1, 1, mxREAL);
double* out = (double *) mxGetPr(plhs[0]);
unsigned long counter = 0;
double sum = 0;
for (n=0; n < R; n++) { /* iterate over all reference points */
const long actual = ref[n]-1; /* Matlab to C means indices change from 1 to 0, 2 to 1, 3 to 2 ...*/
if (actual > past) {
vector<neighbor> v;
searcher->search_range(v, range, points.point_begin(actual), actual-past, N); // don't search points from [actual-past .. N-1]
//overall_points += (actual-past); // count the total number of points pairs that were at least theoretically tested
if (v.size() > 0) {
vector<neighbor>::iterator i;
for (i = v.begin(); i < v.end(); i++) { // v is unsorted
const double dist = (*i).dist();
if (dist > 0) {
sum += log(dist/range);
counter++;
}
}
}
}
}
if (counter > 0) *out = -((double)counter)/sum;
else *out = 0;
delete searcher;
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
/* declare variables */
double *v1_val, *v2_val, *v1_id, *v2_id;
double *dis = 0,
sum_sqr = 0;
double v1_n, v2_n;
int64_T i = 0, j = 0;
/* check number of input and output arguments */
if (nrhs != 4) {
mexErrMsgTxt("Wrong number of input arguments.");
} else if (nlhs > 1) {
mexErrMsgTxt("Too many output arguments.");
}
/* get input arguments */
if (!mxIsDouble(prhs[0]) || mxIsComplex(prhs[0])) {
mexErrMsgTxt("x1 must be a int64 matrix.");
}
v1_id = (double *)mxGetData(prhs[0]);
if (!mxIsDouble(prhs[1]) || mxIsComplex(prhs[1])) {
mexErrMsgTxt("x2 must be a double matrix.");
}
v1_val = mxGetPr(prhs[1]);
v1_n = mxGetNumberOfElements(prhs[1]);
if (!mxIsDouble(prhs[2]) || mxIsComplex(prhs[2])) {
mexErrMsgTxt("x3 must be a double matrix.");
}
v2_id = (double *)mxGetData(prhs[2]);
if (!mxIsDouble(prhs[3]) || mxIsComplex(prhs[3])) {
mexErrMsgTxt("x4 must be a double matrix.");
}
v2_val = mxGetPr(prhs[3]);
v2_n = mxGetNumberOfElements(prhs[3]);
/* allocate and initialise output matrix */
plhs[0] = mxCreateDoubleScalar(0);
dis = mxGetPr(plhs[0]);
/* Calculate */
while (i < v1_n && j < v2_n){
if(v1_id[i] == v2_id[j]) {
sum_sqr += (v1_val[i] - v2_val[j]) * (v1_val[i] - v2_val[j]);
i++; j++;
} else if (v1_id[i] < v2_id[j]) {
sum_sqr += v1_val[i] * v1_val[i];
i++;
} else {
sum_sqr += v2_val[j] * v2_val[j];
j++;
}
}
//Calculate the rest of array
while(i < v1_n) {
sum_sqr += v1_val[i] * v1_val[i];
i++;
}
while (j < v2_n){
sum_sqr += v2_val[j] * v2_val[j];
j++;
}
*dis = sqrt(sum_sqr);
}
void mexFunction
(
int nargout,
mxArray *pargout [ ],
int nargin,
const mxArray *pargin [ ]
)
{
Long *Ap, *Ai, *Zp, *Zi ;
double *Ax, *Az, *Zx ;
Long p, j, build_upper, zero_handling, nrow, ncol, mkind, skind, asize, znz,
status ;
int ok = TRUE ;
char filename [LEN+1], title [73], key [9], mtype [4] ;
SuiteSparse_config config ;
config.malloc_memory = mxMalloc ;
config.free_memory = mxFree ;
/* ---------------------------------------------------------------------- */
/* check inputs */
/* ---------------------------------------------------------------------- */
if (nargin != 1 || nargout > 5 || !mxIsChar (pargin [0]))
{
mexErrMsgTxt ("Usage: [A Z title key mtype] = RBread (filename)") ;
}
/* ---------------------------------------------------------------------- */
/* get filename */
/* ---------------------------------------------------------------------- */
if (mxGetString (pargin [0], filename, LEN) != 0)
{
mexErrMsgTxt ("filename too long") ;
}
/* ---------------------------------------------------------------------- */
/* read the matrix */
/* ---------------------------------------------------------------------- */
build_upper = TRUE ; /* always build upper tri. part */
zero_handling = (nargout > 1) ? 2 : 1 ; /* prune or extract zeros */
status = RBread (filename, build_upper, zero_handling, title, key, mtype,
&nrow, &ncol, &mkind, &skind, &asize, &znz,
&Ap, &Ai, &Ax, &Az, &Zp, &Zi, &config) ;
if (status != RBIO_OK)
{
RBerror (status) ;
mexErrMsgTxt ("error reading file") ;
}
/* ---------------------------------------------------------------------- */
/* return A to MATLAB */
/* ---------------------------------------------------------------------- */
pargout [0] = mxCreateSparse (0, 0, 0, (mkind == 2) ? mxCOMPLEX : mxREAL) ;
mxFree (mxGetJc (pargout [0])) ;
mxFree (mxGetIr (pargout [0])) ;
mxFree (mxGetPr (pargout [0])) ;
if (mkind == 2) mxFree (mxGetPi (pargout [0])) ;
mxSetM (pargout [0], nrow) ;
mxSetN (pargout [0], ncol) ;
mxSetNzmax (pargout [0], asize) ;
mxSetJc (pargout [0], (mwIndex *) Ap) ;
mxSetIr (pargout [0], (mwIndex *) Ai) ;
mxSetPr (pargout [0], Ax) ;
if (mkind == 2) mxSetPi (pargout [0], Az) ;
/* ---------------------------------------------------------------------- */
/* return Z to MATLAB */
/* ---------------------------------------------------------------------- */
if (nargout > 1)
{
Zx = (double *) SuiteSparse_malloc (znz, sizeof (double), &ok, &config);
for (p = 0 ; p < znz ; p++)
{
Zx [p] = 1 ;
}
pargout [1] = mxCreateSparse (0, 0, 0, mxREAL) ;
mxFree (mxGetJc (pargout [1])) ;
mxFree (mxGetIr (pargout [1])) ;
mxFree (mxGetPr (pargout [1])) ;
mxSetM (pargout [1], nrow) ;
mxSetN (pargout [1], ncol) ;
mxSetNzmax (pargout [1], MAX (znz,1)) ;
mxSetJc (pargout [1], (mwIndex *) Zp) ;
mxSetIr (pargout [1], (mwIndex *) Zi) ;
mxSetPr (pargout [1], Zx) ;
}
/* ---------------------------------------------------------------------- */
/* return title */
/* ---------------------------------------------------------------------- */
if (nargout > 2)
{
pargout [2] = mxCreateString (title) ;
}
/* ---------------------------------------------------------------------- */
/* return key */
/* ---------------------------------------------------------------------- */
if (nargout > 3)
{
pargout [3] = mxCreateString (key) ;
}
/* ---------------------------------------------------------------------- */
/* return mtype */
/* ---------------------------------------------------------------------- */
if (nargout > 4)
{
pargout [4] = mxCreateString (mtype) ;
}
}
void mexFunction
(
int nargout,
mxArray *pargout [ ],
int nargin,
const mxArray *pargin [ ]
)
{
double xmin, xmax ;
Long *Ap, *Ai ;
double *Ax, *Az ;
Long nrow, ncol, nnz, mkind, skind, mkind_in ;
char mtype [4] ;
/* ---------------------------------------------------------------------- */
/* check inputs */
/* ---------------------------------------------------------------------- */
if (nargin != 1 || nargout > 3)
{
mexErrMsgTxt ("Usage: [mtype mkind skind] = RBtype (A)") ;
}
/* ---------------------------------------------------------------------- */
/* get A */
/* ---------------------------------------------------------------------- */
if (!mxIsClass (pargin [0], "double") || !mxIsSparse (pargin [0]))
{
mexErrMsgTxt ("A must be sparse and double") ;
}
Ap = (Long *) mxGetJc (pargin [0]) ;
Ai = (Long *) mxGetIr (pargin [0]) ;
Ax = mxGetPr (pargin [0]) ;
Az = mxGetPi (pargin [0]) ;
nrow = mxGetM (pargin [0]) ;
ncol = mxGetN (pargin [0]) ;
/* ---------------------------------------------------------------------- */
/* determine the mtype of A */
/* ---------------------------------------------------------------------- */
mkind_in = mxIsComplex (pargin [0]) ? 2 : 0 ;
RBkind (nrow, ncol, Ap, Ai, Ax, Az, mkind_in, &mkind, &skind, mtype,
&xmin, &xmax, NULL) ;
/* ---------------------------------------------------------------------- */
/* return the result */
/* ---------------------------------------------------------------------- */
pargout [0] = mxCreateString (mtype) ;
if (nargout >= 2)
{
pargout [1] = mxCreateDoubleScalar ((double) mkind) ;
}
if (nargout >= 3)
{
pargout [2] = mxCreateDoubleScalar ((double) skind) ;
}
}
void mexFunction( int nlhs, mxArray *plhs[],
int nrhs, const mxArray*prhs[] )
{
LSMLIB_REAL *phi_x, *phi_y;
int ilo_grad_phi_gb, ihi_grad_phi_gb, jlo_grad_phi_gb, jhi_grad_phi_gb;
LSMLIB_REAL *phi;
int ilo_phi_gb, ihi_phi_gb, jlo_phi_gb, jhi_phi_gb;
LSMLIB_REAL *vel_x, *vel_y;
int ilo_vel_gb, ihi_vel_gb, jlo_vel_gb, jhi_vel_gb;
LSMLIB_REAL *D1;
int ilo_D1_gb, ihi_D1_gb, jlo_D1_gb, jhi_D1_gb;
LSMLIB_REAL *D2;
int ilo_D2_gb, ihi_D2_gb, jlo_D2_gb, jhi_D2_gb;
int ilo_fb, ihi_fb, jlo_fb, jhi_fb;
double *dX;
LSMLIB_REAL dX_meshgrid_order[2];
int ghostcell_width;
int num_data_array_dims;
/* Check for proper number of arguments */
if (nrhs != 5) {
mexErrMsgTxt("Five required input arguments.");
} else if (nlhs > 2) {
mexErrMsgTxt("Too many output arguments.");
}
/* Parameter Checks */
num_data_array_dims = mxGetNumberOfDimensions(PHI);
if (num_data_array_dims != 2) {
mexErrMsgTxt("phi should be a 2 dimensional array.");
}
num_data_array_dims = mxGetNumberOfDimensions(VEL_X);
if (num_data_array_dims != 2) {
mexErrMsgTxt("vel_x should be a 2 dimensional array.");
}
num_data_array_dims = mxGetNumberOfDimensions(VEL_Y);
if (num_data_array_dims != 2) {
mexErrMsgTxt("vel_y should be a 2 dimensional array.");
}
/* Check that the inputs have the correct floating-point precision */
#ifdef LSMLIB_DOUBLE_PRECISION
if (!mxIsDouble(PHI)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for double-precision but phi is single-precision");
}
if (!mxIsDouble(VEL_X)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for double-precision but vel_x is single-precision");
}
if (!mxIsDouble(VEL_Y)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for double-precision but vel_y is single-precision");
}
#else
if (!mxIsSingle(PHI)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for single-precision but phi is double-precision");
}
if (!mxIsSingle(VEL_X)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for single-precision but vel_x is double-precision");
}
if (!mxIsSingle(VEL_Y)) {
mexErrMsgTxt("Incompatible precision: LSMLIB built for single-precision but vel_y is double-precision");
}
#endif
/* Get ghostcell_width */
ghostcell_width = mxGetPr(GHOSTCELL_WIDTH)[0];
/* Get dX */
dX = mxGetPr(DX);
/* Change order of dX to be match MATLAB meshgrid() order for grids. */
dX_meshgrid_order[0] = dX[1];
dX_meshgrid_order[1] = dX[0];
/* Assign pointers for phi and velocities */
phi = (LSMLIB_REAL*) mxGetPr(PHI);
vel_x = (LSMLIB_REAL*) mxGetPr(VEL_X);
vel_y = (LSMLIB_REAL*) mxGetPr(VEL_Y);
/* Get size of phi data */
ilo_phi_gb = 1;
ihi_phi_gb = mxGetM(PHI);
jlo_phi_gb = 1;
jhi_phi_gb = mxGetN(PHI);
/* Get size of velocity data (assume vel_x and vel_y have same size) */
ilo_vel_gb = 1;
ihi_vel_gb = mxGetM(VEL_X);
jlo_vel_gb = 1;
jhi_vel_gb = mxGetN(VEL_X);
/* if necessary, shift ghostbox for velocity to be */
/* centered with respect to the ghostbox for phi. */
if (ihi_vel_gb != ihi_phi_gb) {
int shift = (ihi_phi_gb-ihi_vel_gb)/2;
ilo_vel_gb += shift;
ihi_vel_gb += shift;
}
if (jhi_vel_gb != jhi_phi_gb) {
int shift = (jhi_phi_gb-jhi_vel_gb)/2;
jlo_vel_gb += shift;
jhi_vel_gb += shift;
}
/* Create matrices for upwind derivatives (i.e. phi_x and phi_y) */
ilo_grad_phi_gb = ilo_phi_gb;
ihi_grad_phi_gb = ihi_phi_gb;
jlo_grad_phi_gb = ilo_phi_gb;
jhi_grad_phi_gb = jhi_phi_gb;
#ifdef LSMLIB_DOUBLE_PRECISION
PHI_X = mxCreateDoubleMatrix(ihi_grad_phi_gb-ilo_grad_phi_gb+1,
jhi_grad_phi_gb-jlo_grad_phi_gb+1,
mxREAL);
PHI_Y = mxCreateDoubleMatrix(ihi_grad_phi_gb-ilo_grad_phi_gb+1,
jhi_grad_phi_gb-jlo_grad_phi_gb+1,
mxREAL);
#else
PHI_X = mxCreateNumericMatrix(ihi_grad_phi_gb-ilo_grad_phi_gb+1,
jhi_grad_phi_gb-jlo_grad_phi_gb+1,
mxSINGLE_CLASS, mxREAL);
PHI_Y = mxCreateNumericMatrix(ihi_grad_phi_gb-ilo_grad_phi_gb+1,
jhi_grad_phi_gb-jlo_grad_phi_gb+1,
mxSINGLE_CLASS, mxREAL);
#endif
phi_x = (LSMLIB_REAL*) mxGetPr(PHI_X);
phi_y = (LSMLIB_REAL*) mxGetPr(PHI_Y);
/* Allocate scratch memory for undivided differences */
ilo_D1_gb = ilo_phi_gb;
ihi_D1_gb = ihi_phi_gb;
jlo_D1_gb = jlo_phi_gb;
jhi_D1_gb = jhi_phi_gb;
D1 = (LSMLIB_REAL*) mxMalloc( sizeof(LSMLIB_REAL)
* (ihi_D1_gb-ilo_D1_gb+1)
* (jhi_D1_gb-jlo_D1_gb+1) );
ilo_D2_gb = ilo_phi_gb;
ihi_D2_gb = ihi_phi_gb;
jlo_D2_gb = jlo_phi_gb;
jhi_D2_gb = jhi_phi_gb;
D2 = (LSMLIB_REAL*) mxMalloc( sizeof(LSMLIB_REAL)
* (ihi_D2_gb-ilo_D2_gb+1)
* (jhi_D2_gb-jlo_D2_gb+1) );
if ( (!D1) || (!D2) ) {
if (D1) mxFree(D1);
if (D2) mxFree(D2);
mexErrMsgTxt("Unable to allocate memory for scratch data...aborting....");
}
/* Do the actual computations in a Fortran 77 subroutine */
ilo_fb = ilo_phi_gb+ghostcell_width;
ihi_fb = ihi_phi_gb-ghostcell_width;
jlo_fb = jlo_phi_gb+ghostcell_width;
jhi_fb = jhi_phi_gb-ghostcell_width;
/*
* NOTE: ordering of data arrays from meshgrid() is (y,x), so order
* derivative and velocity data arrays need to be reversed.
*/
LSM2D_UPWIND_HJ_ENO2(
phi_y, phi_x,
&ilo_grad_phi_gb, &ihi_grad_phi_gb,
&jlo_grad_phi_gb, &jhi_grad_phi_gb,
phi,
&ilo_phi_gb, &ihi_phi_gb, &jlo_phi_gb, &jhi_phi_gb,
vel_y, vel_x,
&ilo_vel_gb, &ihi_vel_gb, &jlo_vel_gb, &jhi_vel_gb,
D1,
&ilo_D1_gb, &ihi_D1_gb, &jlo_D1_gb, &jhi_D1_gb,
D2,
&ilo_D2_gb, &ihi_D2_gb, &jlo_D2_gb, &jhi_D2_gb,
&ilo_fb, &ihi_fb, &jlo_fb, &jhi_fb,
&dX_meshgrid_order[0], &dX_meshgrid_order[1]);
/* Deallocate scratch memory for undivided differences */
mxFree(D1);
mxFree(D2);
return;
}
/* main function that interfaces with MATLAB */
void mexFunction(
int nlhs,
mxArray *plhs[],
int nrhs,
const mxArray *prhs[] )
{
/*initial states of m-sequence generators */
/* PN register state of the first m-seqence */
unsigned char mseq_state0[31 + MAX_output_seq_length + NC_OFFSET];
/* PN register state of the second m-seqence */
unsigned char mseq_state1[31 + MAX_output_seq_length + NC_OFFSET];
unsigned char mseq_state1_temp[31];
long seed1_dec; /* initial state expressed as decimal value */
mwSize output_seq_length;
double NIDcell;
double NIDue;
double subframe;
double codeword;
unsigned char *gold_seq;
int deg; /* order of the polynomials poly0 and poly1 */
mwSize i, ji; /* loop variables */
int help_convert; /* temporary variable for the dec to binary conversion */
int index_help_convert; /* invert parameter for the bibary conversion */
/* Check for proper number of arguments */
if ((nrhs != 5 )||(nlhs < 1)||(nlhs > 2))
{
mexErrMsgTxt("Usage: s = LTE_common_scrambling(b, NIDcell, NIDue, subframe, codeword, mode)");
}
else
{
/* Get input parameters */
output_seq_length = (mwSize) (*mxGetPr(INPUT_length));
NIDcell = *mxGetPr(INPUT_NIDcell);
NIDue = *mxGetPr(INPUT_NIDue);
subframe = *mxGetPr(INPUT_subframe);
codeword = *mxGetPr(INPUT_codeword);
/* create the output vector */
OUTPUT_gold_seq = mxCreateLogicalMatrix(1, output_seq_length);
gold_seq = mxGetPr(OUTPUT_gold_seq);
/*initial states of m-sequence generators */
/*DEFINED IN STANDARD 3GPP TS 36.211 V8.2.0 (2008-03) Section 7.2. this initial state is also same with v8.8.0 */
for(i = 0 ; i < 31 + output_seq_length + NC_OFFSET ; i++)
{
mseq_state0[i] = 0;
mseq_state1[i] = 0;
}
mseq_state0[0] = 1;
deg = 31;
seed1_dec = pow(2, 14) * NIDue + pow(2, 13) * codeword + pow(2, 9) * (subframe - 1) + NIDcell;
/* Conversion of the seed into binary number for the second m-sequence that is calculated as decimal from input pars */
index_help_convert = 0;
for(help_convert = 30 ; help_convert >= 0; help_convert--)
{
mseq_state1_temp[help_convert] = seed1_dec / (1 << help_convert);
seed1_dec = seed1_dec - mseq_state1_temp[help_convert] * (1 << help_convert);
mseq_state1[index_help_convert] = mseq_state1_temp[help_convert];
index_help_convert++;
}
for (i = 0; i < output_seq_length + NC_OFFSET ; i++)
{
if(i >= NC_OFFSET)
gold_seq[i - NC_OFFSET] = mseq_state0[i] ^ mseq_state1[i];
mseq_state0[i + deg] = mseq_state0[i] ^ mseq_state0[i + 3];
mseq_state1[i + deg] = (mseq_state1[i] ^ mseq_state1[i + 1]) ^ (mseq_state1[i + 2] ^ mseq_state1[i + 3]);
}
}
return;
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
CUresult cudastatus = CUDA_SUCCESS;
// no more than 2 arguments expected
if (nrhs > 2)
mexErrMsgTxt("Wrong number of arguments");
if (init == 0) {
// Initialize function
//mexLock();
// load GPUmat
gm = gmGetGPUmat();
// check gm
gmCheckGPUmat(gm);
// load module
// NO MODULE REQUIRED
// load float GPU function
// NO FUNCTION REQUIRED
init = 1;
}
// log
gm->debug.log("> SIZE\n",0);
gm->debug.logPush();
if (gm->comp.getCompileMode() == 1) {
mexWarnMsgTxt(WARNING_NUMERICS_COMPNOTIMPLEMENTED);
}
// mex parameters are:
// IN: GPUtype variable
GPUtype IN = gm->gputype.getGPUtype(prhs[0]);
const int *in_size = gm->gputype.getSize(IN);
int in_ndims = gm->gputype.getNdims(IN);
// 2 cases
// 1. s = size(A)
// 2. s = size(A,dim)
if (nrhs == 1) {
// 2 cases:
// 1. s = size(A)
// 2. [a,b,c,...] = size(A)
if (nlhs<=1) {
// 1. s = size(A)
// create output plhs[0]
plhs[0] = mxCreateDoubleMatrix(1, in_ndims, mxREAL);
// fill in plhs[0] with IN dimensions
double *plhs_size = mxGetPr(plhs[0]);
for (int i = 0; i < in_ndims; i++)
plhs_size[i] = (double) in_size[i];
} else {
// 2. [a,b,c,...] = size(A)
for (int i=0;i<nlhs;i++) {
// create output
// create output plhs[i]
int r = 1;
// if i is greater than IN dims return 1
if (i>(in_ndims-1)) {
// r = 1
} else {
r = in_size[i];
}
plhs[i] = mxCreateDoubleScalar(r);
}
}
} else {
// retrieve dim
int dim = (int) mxGetScalar(prhs[1]);
int r = 1;
// if dim is greater than IN dims return 1
if (dim>in_ndims) {
// r = 1
} else {
r = in_size[dim-1];
}
// create output plhs[0]
plhs[0] = mxCreateDoubleScalar(r);
}
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
try {
char* conffile = mxArrayToString(prhs[0]);
char* robotname = mxArrayToString(prhs[1]);
//mexPrintf("conffile = %s", conffile);
Robot robj(conffile, robotname);
// Create link structure
mxArray *links = mxCreateStructMatrix(robj.get_dof(), 1, NUM_LINK_FIELDS, link_field_names);
double *ptr = NULL;
Link *rlinks = robj.links;
std::vector<double> immobileID;
for (int i=1; i <= robj.get_dof(); ++i)
{
// Return the joint type.
mxSetField(links, i-1, "joint_type", mxCreateDoubleScalar( rlinks[i].get_joint_type() ));
// Return theta.
mxSetField(links, i-1, "theta", mxCreateDoubleScalar( rlinks[i].get_theta() ));
//!< Return d.
mxSetField(links, i-1, "d", mxCreateDoubleScalar( rlinks[i].get_d() ));
// Return a.
mxSetField(links, i-1, "a", mxCreateDoubleScalar( rlinks[i].get_a() ));
// Return alpha.
mxSetField(links, i-1, "alpha", mxCreateDoubleScalar( rlinks[i].get_alpha() ));
//!< Return q
mxSetField(links, i-1, "q", mxCreateDoubleScalar( rlinks[i].get_q() ));
// Return theta_min.
mxSetField(links, i-1, "theta_min", mxCreateDoubleScalar( rlinks[i].get_theta_min() ));
// Return theta_max.
mxSetField(links, i-1, "theta_max", mxCreateDoubleScalar( rlinks[i].get_theta_max() ));
// Return joint_offset.
mxSetField(links, i-1, "joint_offset", mxCreateDoubleScalar( rlinks[i].get_joint_offset() ));
// Return r.
mxArray *mr = mxArrayFromNMArray( rlinks[i].get_r() );
//mxArray *mr = mxCreateDoubleMatrix(1,3,mxREAL); ptr = mxGetPr(mr);
//ColumnVector r = rlinks[i].get_r();
//for (int n=0; n < 3; ++n) ptr[n] = r(n+1);
mxSetField(links, i-1, "r", mr);
// Return p.
mxArray *mp = mxArrayFromNMArray( rlinks[i].get_p() );
//mxArray *mp = mxCreateDoubleMatrix(1,3,mxREAL); ptr = mxGetPr(mp);
//ColumnVector p = rlinks[i].get_p();
//for (int n=0; n < 3; ++n) ptr[n] = p(n+1);
mxSetField(links, i-1, "p", mp);
// Return m.
mxSetField(links, i-1, "m", mxCreateDoubleScalar( rlinks[i].get_m() ));
// Return Im.
mxSetField(links, i-1, "Im", mxCreateDoubleScalar( rlinks[i].get_Im() ));
// Return Gr.
mxSetField(links, i-1, "Gr", mxCreateDoubleScalar( rlinks[i].get_Gr() ));
// Return B.
mxSetField(links, i-1, "B", mxCreateDoubleScalar( rlinks[i].get_B() ));
// Return Cf.
mxSetField(links, i-1, "Cf", mxCreateDoubleScalar( rlinks[i].get_Cf() ));
// Return I.
mxArray *mI = mxArrayFromNMArray( rlinks[i].get_I() );
//mxArray *mI = mxCreateDoubleMatrix(3,3,mxREAL);
//Matrix I = rlinks[i].get_I();
//NMMatrixToMxArray(mxGetPr(mI), I, 3, 3);
mxSetField(links, i-1, "I", mI);
// Return immobile.
mxSetField(links, i-1, "immobile", mxCreateLogicalScalar( rlinks[i].get_immobile() ));
if ( rlinks[i].get_immobile() )
{
immobileID.push_back((double)i);
}
}
// Create robot structure
LHS_ARG_1 = mxCreateStructMatrix(1, 1, NUM_ROBOT_FIELDS, robot_field_names);
// Set name
mxSetField(LHS_ARG_1, 0, "name", mxCreateString(robotname) );
// Set gravity
mxSetField(LHS_ARG_1, 0, "gravity", mxArrayFromNMArray( robj.gravity ) );
// Return DH type
mxSetField(LHS_ARG_1, 0, "DH", mxCreateLogicalScalar( robj.get_DH() ));
// Return DOF
mxSetField(LHS_ARG_1, 0, "dof", mxCreateDoubleScalar( (double)robj.get_dof() ));
// Return available DOF
mxSetField(LHS_ARG_1, 0, "available_dof", mxCreateDoubleScalar( robj.get_available_dof() ));
// Return IDs of immobile joints
int nImmobileJnts = (int)immobileID.size();
if ( nImmobileJnts > 0 )
{
mxArray *tempArray = mxCreateDoubleMatrix(1,nImmobileJnts,mxREAL);
memcpy( mxGetPr(tempArray), &immobileID[0], nImmobileJnts*sizeof(double) );
mxSetField(LHS_ARG_1, 0, "immobile_joints", tempArray);
} else {
mxSetField(LHS_ARG_1, 0, "immobile_joints", mxCreateDoubleMatrix(0,0, mxREAL));
}
// Return links
mxSetField(LHS_ARG_1, 0, "links", links);
// Free allocated stuff
mxFree( conffile );
mxFree( robotname );
} catch(Exception) {
std::ostringstream msg;
msg << mexFunctionName() << ":: " << Exception::what();
mexErrMsgTxt(msg.str().c_str());
} catch (const std::runtime_error& e) {
std::ostringstream msg;
msg << mexFunctionName() << ":: " << e.what();
mexErrMsgTxt(msg.str().c_str());
} catch (...) {
std::ostringstream msg;
msg << mexFunctionName() << ":: Unknown failure during operation";
mexErrMsgTxt(msg.str().c_str());
}
}
/* cs_qr: sparse QR factorization */
void mexFunction
(
int nargout,
mxArray *pargout [ ],
int nargin,
const mxArray *pargin [ ]
)
{
CS_INT m, n, order, *p ;
if (nargout > 5 || nargin != 1)
{
mexErrMsgTxt ("Usage: [V,beta,p,R,q] = cs_qr(A)") ;
}
order = (nargout == 5) ? 3 : 0 ; /* determine ordering */
m = mxGetM (pargin [0]) ;
n = mxGetN (pargin [0]) ;
if (m < n) mexErrMsgTxt ("A must have # rows >= # columns") ;
if (mxIsComplex (pargin [0]))
{
#ifndef NCOMPLEX
cs_cls *S ;
cs_cln *N ;
cs_cl Amatrix, *A, *D ;
A = cs_cl_mex_get_sparse (&Amatrix, 0, pargin [0]) ; /* get A */
S = cs_cl_sqr (order, A, 1) ; /* symbolic QR ordering & analysis*/
N = cs_cl_qr (A, S) ; /* numeric QR factorization */
cs_free (A->x) ;
if (!N) mexErrMsgTxt ("qr failed") ;
cs_cl_dropzeros (N->L) ; /* drop zeros from V and sort */
D = cs_cl_transpose (N->L, 1) ;
cs_cl_spfree (N->L) ;
N->L = cs_cl_transpose (D, 1) ;
cs_cl_spfree (D) ;
cs_cl_dropzeros (N->U) ; /* drop zeros from R and sort */
D = cs_cl_transpose (N->U, 1) ;
cs_cl_spfree (N->U) ;
N->U = cs_cl_transpose (D, 1) ;
cs_cl_spfree (D) ;
m = N->L->m ; /* m may be larger now */
p = cs_cl_pinv (S->pinv, m) ; /* p = pinv' */
pargout [0] = cs_cl_mex_put_sparse (&(N->L)) ; /* return V */
cs_dl_mex_put_double (n, N->B, &(pargout [1])) ; /* return beta */
pargout [2] = cs_dl_mex_put_int (p, m, 1, 1) ; /* return p */
pargout [3] = cs_cl_mex_put_sparse (&(N->U)) ; /* return R */
pargout [4] = cs_dl_mex_put_int (S->q, n, 1, 0) ; /* return q */
cs_cl_nfree (N) ;
cs_cl_sfree (S) ;
#else
mexErrMsgTxt ("complex matrices not supported") ;
#endif
}
else
{
cs_dls *S ;
cs_dln *N ;
cs_dl Amatrix, *A, *D ;
A = cs_dl_mex_get_sparse (&Amatrix, 0, 1, pargin [0]) ; /* get A */
S = cs_dl_sqr (order, A, 1) ; /* symbolic QR ordering & analysis*/
N = cs_dl_qr (A, S) ; /* numeric QR factorization */
if (!N) mexErrMsgTxt ("qr failed") ;
cs_dl_dropzeros (N->L) ; /* drop zeros from V and sort */
D = cs_dl_transpose (N->L, 1) ;
cs_dl_spfree (N->L) ;
N->L = cs_dl_transpose (D, 1) ;
cs_dl_spfree (D) ;
cs_dl_dropzeros (N->U) ; /* drop zeros from R and sort */
D = cs_dl_transpose (N->U, 1) ;
cs_dl_spfree (N->U) ;
N->U = cs_dl_transpose (D, 1) ;
cs_dl_spfree (D) ;
m = N->L->m ; /* m may be larger now */
p = cs_dl_pinv (S->pinv, m) ; /* p = pinv' */
pargout [0] = cs_dl_mex_put_sparse (&(N->L)) ; /* return V */
cs_dl_mex_put_double (n, N->B, &(pargout [1])) ; /* return beta */
pargout [2] = cs_dl_mex_put_int (p, m, 1, 1) ; /* return p */
pargout [3] = cs_dl_mex_put_sparse (&(N->U)) ; /* return R */
pargout [4] = cs_dl_mex_put_int (S->q, n, 1, 0) ; /* return q */
cs_dl_nfree (N) ;
cs_dl_sfree (S) ;
}
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
int i;
mxClassID category;
int total_num_of_elements, number_of_fields, index, field_index;
const char *field_name;
const mxArray *field_array_ptr;
char *buf, *sort1;
int number_of_dimensions;
const int *dims;
int buflen, d, page, total_number_of_pages, elements_per_page;
double *pr, *pr2, *pr3, *pr4;
int total_num_of_elements2, index2;
int mrows, mcols, mrows1, mcols1, toto;
double *sort2, sort3, *J1;
int sort3bis, *pr3bis;
double *sort4;
double *sort11, *sort22, *sort33;
int *sort55, *pr5, *ddl_n, *ddl_tt, *ddl_d;
double tol, k_lat;
int itermax, chat ;
char *mot1, *mot2, *mot3, *mot4, *mot5, *mot6, *mot7;
method meth_dfc_2D;
double *vec, *q, *z, *w, *info, *mu;
int n, *nr, *dim_tt, *dim_d;
mot1 = "NLGS";
mot2 = "Cfd_latin";
mot3 = "Lemke";
/* mot4 = "CPG";
mot5 = "Latin";
mot6 = "QP";
*/
mot7 = "NSQP";
if (nlhs != 3)
{
mexErrMsgTxt("3 output required.");
}
if (nrhs != 5)
{
mexErrMsgTxt("5 input required.");
}
vec = mxGetPr(prhs[0]);
q = mxGetPr(prhs[1]);
nr = mxGetData(prhs[2]);
mu = mxGetPr(prhs[3]);
meth_dfc_2D.dfc_2D.mu = *mu;
n = *nr;
mrows1 = mxGetM(prhs[1]);
mcols1 = mxGetN(prhs[1]);
plhs[0] = mxCreateDoubleMatrix(mrows1, mcols1, mxREAL); /* z */
plhs[1] = mxCreateDoubleMatrix(mrows1, mcols1, mxREAL); /* w */
plhs[2] = mxCreateDoubleMatrix(mcols1, mcols1, mxREAL); /* info */
z = mxGetPr(plhs[0]);
w = mxGetPr(plhs[1]);
info = mxGetPr(plhs[2]);
category = mxGetClassID(prhs[4]);
if (category != mxSTRUCT_CLASS)
{
mexPrintf("The thrid input must be a structure");
}
total_num_of_elements = mxGetNumberOfElements(prhs[4]);
number_of_fields = mxGetNumberOfFields(prhs[4]);
mexPrintf("\n\t\t");
index = 0;
field_index = 0;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
if (category != mxCHAR_CLASS)
{
mexPrintf("The first element of the structure must be a CHAR");
}
buflen = mxGetNumberOfElements(field_array_ptr) + 1;
buf = mxCalloc(buflen, sizeof(char));
/* Copy the string data from string_array_ptr and place it into buf. */
if (mxGetString(field_array_ptr, buf, buflen) != 0)
mexErrMsgTxt("Could not convert string data.");
printf("\n");
meth_dfc_2D.dfc_2D.name = buf;
/* 2nd element of the structure */
if ((strcmp(buf, mot2) == 0))
{
field_index = 1;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 2 element of the structure must be an integer\n");
}
pr3bis = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 1)
{
itermax = pr3bis[index2];
meth_dfc_2D.dfc_2D.itermax = itermax;
}
}
/* End of 2nd element of the structure */
/* 3 element of the structure */
field_index = 2;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 3 element of the structure must be a DOUBLE");
}
if (field_index == 2) pr2 = mxGetPr(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort2 = (double*) malloc(1 * 1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 2)
{
sort2[index2] = pr2[index2];
tol = sort2[index2];
meth_dfc_2D.dfc_2D.tol = tol;
}
}
/* End 3 element of the structure */
/* 4 element of the structure */
field_index = 3;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 4 element of the structure must be a DOUBLE");
}
if (field_index == 3) pr3 = mxGetPr(field_array_ptr);
total_num_of_elements2 = 1; /* mxGetNumberOfElements(field_array_ptr);*/
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort22 = (double*) malloc(1 * 1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 3)
{
sort22[index2] = pr3[index2];
k_lat = sort22[index2];
meth_dfc_2D.dfc_2D.k_latin = k_lat;
}
}
/* End of 4 element of the structure */
/* 5 element of the structure */
field_index = 4;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 5 element of the structure must be an integer");
}
pr5 = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1; /*mxGetNumberOfElements(field_array_ptr);*/
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort55 = (int*) malloc(1 * 1 * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 4)
{
sort55[index2] = pr5[index2];
chat = sort55[index2];
meth_dfc_2D.dfc_2D.chat = chat;
}
}
/* End of 5 element of the structure */
/* 6 element of the structure */
field_index = 5;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 6 element of the structure must be a DOUBLE");
}
if (field_index == 5) J1 = mxGetPr(field_array_ptr);
total_num_of_elements2 = mrows1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
meth_dfc_2D.dfc_2D.J1 = (double *) malloc(mrows1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 5)
{
meth_dfc_2D.dfc_2D.J1[index2] = J1[index2];
}
}
/* End of 6 element of the structure */
/* 7 element of the structure */
field_index = 6;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 7 element of the structure must be an integer");
}
dim_tt = mxGetData(field_array_ptr);
total_num_of_elements2 = 1; /*mxGetNumberOfElements(field_array_ptr);*/
meth_dfc_2D.dfc_2D.dim_tt = *dim_tt;/* (int *) malloc(*dim_tt*sizeof(int));*/
/* End of 7 element of the structure */
/* 8 element of the structure */
field_index = 7;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 8 element of the structure must be an integer");
}
ddl_n = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt; /*mxGetNumberOfElements(field_array_ptr);*/
meth_dfc_2D.dfc_2D.ddl_n = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 7)
{
meth_dfc_2D.dfc_2D.ddl_n[index2] = ddl_n[index2] - 1;
}
}
/* End of 8 element of the structure */
/* 9 element of the structure */
field_index = 8;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 9 element of the structure must be an integer");
}
ddl_tt = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt; /*mxGetNumberOfElements(field_array_ptr);*/
meth_dfc_2D.dfc_2D.ddl_tt = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 8)
{
meth_dfc_2D.dfc_2D.ddl_tt[index2] = ddl_tt[index2] - 1;
}
}
/* End of 9 element of the structure */
/* 10 element of the structure */
field_index = 9;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 10 element of the structure must be an integer");
}
dim_d = mxGetData(field_array_ptr);
total_num_of_elements2 = 1; /*mxGetNumberOfElements(field_array_ptr);*/
meth_dfc_2D.dfc_2D.dim_d = *dim_d;/* (int *) malloc(*dim_tt*sizeof(int));*/
/* End of 10 element of the structure */
/* 11 element of the structure */
field_index = 10;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 11 element of the structure must be an integer");
}
ddl_d = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_d;
meth_dfc_2D.dfc_2D.ddl_d = (int *) malloc(*dim_d * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 10)
{
meth_dfc_2D.dfc_2D.ddl_d[index2] = ddl_d[index2] - 1;
}
}
free(sort2);
free(sort22);
free(sort55);
}
/* End of 11 element of the structure */
if ((strcmp(buf, mot1) == 0))
{
field_index = 1;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 2 element of the structure must be an integer\n");
}
pr3bis = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 1)
{
itermax = pr3bis[index2];
meth_dfc_2D.dfc_2D.itermax = itermax;
}
}
field_index = 2;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 3 element of the structure must be a DOUBLE");
}
if (field_index == 2) pr2 = mxGetPr(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort2 = (double*) malloc(1 * 1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 2)
{
sort2[index2] = pr2[index2];
tol = sort2[index2];
meth_dfc_2D.dfc_2D.tol = tol;
}
}
field_index = 3;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 4 element of the structure must be an integer");
}
pr5 = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort55 = (int*) malloc(1 * 1 * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 3)
{
sort55[index2] = pr5[index2];
chat = sort55[index2];
meth_dfc_2D.dfc_2D.chat = chat;
}
}
field_index = 4;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 5 element of the structure must be a DOUBLE");
}
if (field_index == 4) J1 = mxGetPr(field_array_ptr);
total_num_of_elements2 = mrows1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
meth_dfc_2D.dfc_2D.J1 = (double *) malloc(mrows1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 4)
{
meth_dfc_2D.dfc_2D.J1[index2] = J1[index2];
}
}
field_index = 5;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 6 element of the structure must be an integer");
}
dim_tt = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_tt = *dim_tt;
field_index = 6;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 7 element of the structure must be an integer");
}
ddl_n = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_n = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 6)
{
meth_dfc_2D.dfc_2D.ddl_n[index2] = ddl_n[index2] - 1;
}
}
field_index = 7;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 8 element of the structure must be an integer");
}
ddl_tt = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_tt = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 7)
{
meth_dfc_2D.dfc_2D.ddl_tt[index2] = ddl_tt[index2] - 1;
}
}
field_index = 8;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 9 element of the structure must be an integer");
}
dim_d = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_d = *dim_d;
field_index = 9;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 10 element of the structure must be an integer");
}
ddl_d = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_d;
meth_dfc_2D.dfc_2D.ddl_d = (int *) malloc(*dim_d * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 9)
{
meth_dfc_2D.dfc_2D.ddl_d[index2] = ddl_d[index2] - 1;
}
}
free(sort2);
free(sort55);
}
if ((strcmp(buf, mot3) == 0))
{
field_index = 1;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 2 element of the structure must be an integer\n");
}
pr3bis = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 1)
{
itermax = pr3bis[index2];
meth_dfc_2D.dfc_2D.itermax = itermax;
}
}
field_index = 2;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 3 element of the structure must be an integer");
}
pr5 = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort55 = (int*) malloc(1 * 1 * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 2)
{
sort55[index2] = pr5[index2];
chat = sort55[index2];
meth_dfc_2D.dfc_2D.chat = chat;
}
}
field_index = 3;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 4 element of the structure must be a DOUBLE");
}
if (field_index == 3) J1 = mxGetPr(field_array_ptr);
total_num_of_elements2 = mrows1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
meth_dfc_2D.dfc_2D.J1 = (double *) malloc(mrows1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 3)
{
meth_dfc_2D.dfc_2D.J1[index2] = J1[index2];
}
}
field_index = 4;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 5 element of the structure must be an integer");
}
dim_tt = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_tt = *dim_tt;
field_index = 5;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 6 element of the structure must be an integer");
}
ddl_n = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_n = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 5)
{
meth_dfc_2D.dfc_2D.ddl_n[index2] = ddl_n[index2] - 1;
}
}
field_index = 6;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 7 element of the structure must be an integer");
}
ddl_tt = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_tt = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 6)
{
meth_dfc_2D.dfc_2D.ddl_tt[index2] = ddl_tt[index2] - 1;
}
}
field_index = 7;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 8 element of the structure must be an integer");
}
dim_d = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_d = *dim_d;
field_index = 8;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 9 element of the structure must be an integer");
}
ddl_d = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_d;
meth_dfc_2D.dfc_2D.ddl_d = (int *) malloc(*dim_d * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 8)
{
meth_dfc_2D.dfc_2D.ddl_d[index2] = ddl_d[index2] - 1;
}
}
free(sort55);
}
if ((strcmp(buf, mot7) == 0))
{
field_index = 1;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 2 element of the structure must be a DOUBLE");
}
if (field_index == 2) pr2 = mxGetPr(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort2 = (double*) malloc(1 * 1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 2)
{
sort2[index2] = pr2[index2];
tol = sort2[index2];
meth_dfc_2D.dfc_2D.tol = tol;
}
}
field_index = 2;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 3 element of the structure must be an integer");
}
pr5 = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
sort55 = (int*) malloc(1 * 1 * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 2)
{
sort55[index2] = pr5[index2];
chat = sort55[index2];
meth_dfc_2D.dfc_2D.chat = chat;
}
}
field_index = 3;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxDOUBLE_CLASS)
{
mexPrintf("The 4 element of the structure must be a DOUBLE");
}
if (field_index == 3) J1 = mxGetPr(field_array_ptr);
total_num_of_elements2 = mrows1;
mrows = mxGetM(field_array_ptr);
mcols = mxGetN(field_array_ptr);
meth_dfc_2D.dfc_2D.J1 = (double *) malloc(mrows1 * sizeof(double));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 3)
{
meth_dfc_2D.dfc_2D.J1[index2] = J1[index2];
}
}
field_index = 4;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 5 element of the structure must be an integer");
}
dim_tt = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_tt = *dim_tt;
field_index = 5;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 6 element of the structure must be an integer");
}
ddl_n = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_n = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 5)
{
meth_dfc_2D.dfc_2D.ddl_n[index2] = ddl_n[index2] - 1;
}
}
field_index = 6;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 7 element of the structure must be an integer");
}
ddl_tt = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_tt;
meth_dfc_2D.dfc_2D.ddl_tt = (int *) malloc(*dim_tt * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 6)
{
meth_dfc_2D.dfc_2D.ddl_tt[index2] = ddl_tt[index2] - 1;
}
}
field_index = 7;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 8 element of the structure must be an integer");
}
dim_d = mxGetData(field_array_ptr);
total_num_of_elements2 = 1;
meth_dfc_2D.dfc_2D.dim_d = *dim_d;
field_index = 8;
field_array_ptr = mxGetFieldByNumber(prhs[4],
index,
field_index);
if (field_array_ptr == NULL)
mexPrintf("\tEmpty Field\n");
else
{
category = mxGetClassID(field_array_ptr);
}
if (category != mxINT32_CLASS)
{
mexPrintf("The 9 element of the structure must be an integer");
}
ddl_d = (int *) mxGetData(field_array_ptr);
total_num_of_elements2 = *dim_d;
meth_dfc_2D.dfc_2D.ddl_d = (int *) malloc(*dim_d * sizeof(int));
for (index2 = 0; index2 < total_num_of_elements2; index2++)
{
if (field_index == 8)
{
meth_dfc_2D.dfc_2D.ddl_d[index2] = ddl_d[index2] - 1;
}
}
free(sort55);
}
printf("we enter in dfc_2D_solver using the %s method \n\n", buf);
if (strcmp(buf, mot1) == 0)
{
toto = dfc_2D_solver(vec, q, &mrows1, &meth_dfc_2D, z, w);
}
else if (strcmp(buf, mot2) == 0)
toto = dfc_2D_solver(vec, q, &mrows1, &meth_dfc_2D, z, w);
else if (strcmp(buf, mot3) == 0)
toto = dfc_2D_solver(vec, q, &mrows1, &meth_dfc_2D, z, w);
else if (strcmp(buf, mot7) == 0)
toto = dfc_2D_solver(vec, q, &mrows1, &meth_dfc_2D, z, w);
/* else if (strcmp(buf, mot5) == 0)
toto = dfc_2D_solver(vec, q, &mrows1, &meth_dfc_2D, z, w);*/
else printf("Warning : Unknown solving method : %s\n", buf);
*info = toto;
free(meth_dfc_2D.dfc_2D.J1);
free(meth_dfc_2D.dfc_2D.ddl_n);
free(meth_dfc_2D.dfc_2D.ddl_tt);
free(meth_dfc_2D.dfc_2D.ddl_d);
}
}
void mexFunction(
int nlhs,
mxArray *plhs[],
int nrhs,
const mxArray *prhs[]
) {
enum INPUTS {
I_FACE = 0,
I_NORMALF,
I_NVERT,
I_LAST
};
if (nrhs != I_LAST) {
mexErrMsgTxt("Only 3 input arguments allowed.");
} else if (nlhs != 1) {
mexErrMsgTxt("Only 1 output arguments allowed.");
}
if (mxGetM(prhs[I_FACE]) != 3){
mexErrMsgTxt("Error with face array width");
}
if (mxGetM(prhs[I_NORMALF]) != 3){
mexErrMsgTxt("Error with normal array width");
}
//mexPrintf("M = %d, N = %d",)
if (mxGetM(prhs[I_NVERT]) != 1 || mxGetN(prhs[I_NVERT]) != 1 ){
mexErrMsgTxt("nvert should be scalar");
}
// normal = zeros(3,nvert);
//for i=1:nface
// f = face(:,i);
// for j=1:3
// normal(:,f(j)) = normal(:,f(j)) + normalf(:,i);
// end
//end
int nvert = mxGetScalar(prhs[I_NVERT]);
int nface = mxGetN(prhs[I_FACE]);
mxArray *normal = mxCreateDoubleMatrix(3, nvert, mxREAL);
double *pNormal = mxGetPr(normal);
double* pFaces = mxGetPr(prhs[I_FACE]);
double* pNormalF = mxGetPr(prhs[I_NORMALF]);
double f[3];
for (int i = 0; i < nface; i++) {
memcpy(&f, &pFaces[i*3],3*sizeof(double));
//mexPrintf("f = %d %d %d\n", int(f[0]),int(f[1]),int(f[2]));
for (int j = 0; j < 3; j++) {
for (int l = 0; l < 3; l++) {
int nIndex = floor(f[j]-1)*3 + l;
char err[1000];
if (nIndex > nvert*3) {
sprintf(err,"damn: nIndex = %d, f(j) = %d, i=%d, j=%d l=%d", nIndex, int(f[j]),i,j,l);
mexErrMsgTxt(err);
}
pNormal[nIndex] += pNormalF[i*3+l];
}
}
}
plhs[0] = normal;
}
/*============================================================*/
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[] )
{
float *image, *tmp;
int nX, nY;
ccLabelStruct **label;
int ixy;
int numComp, t;
double minTarget; /* 0.001 = boxes02-add.pgm */
double *target;
float debug = 0;
/* for sparse array */
mwIndex *rowPtr, *colInfo;
double *data;
int rows, cols;
int sparseFlag = 0;
RanTimeSeed;
/*mexPrintf("nlhs:%d nrhs: %d\n",nlhs,nrhs);*/
/* check for the required input arguments */
if( nrhs < 2 )
mexErrMsgTxt( "Input expected: <symmetric-positive-array-for-cca> <affty-threshold> <1-for-debug>" );
/* get the symmetric matrix */
/*mex2float( prhs[0], &target, &nX, &nY);*/
nX = mxGetN(prhs[0]); /* cols */
cols = nX;
nY = mxGetM(prhs[0]); /* rows */
rows = nY;
mexPrintf("size: %d %d\n",nX,nY);
if (mxIsSparse(prhs[0])) {
sparseFlag = 1;
mexPrintf("Affy matrix Sparse? : %d\n",sparseFlag);
}
if (sparseFlag) {
mwIndex *jc;
data = mxGetPr(prhs[0]); /* pointer to real data */
rowPtr = mxGetIr(prhs[0]); /* pointer to row info */
colInfo = mxGetJc(prhs[0]); /* pointer to col info */
jc = mxGetJc(prhs[0]);
/*
for (ixy=0; ixy < mxGetN(prhs[0]); ixy++) {
mexPrintf("rowBouMain %d (%d %d) \n",ixy,jc[ixy+1],colInfo[ixy+1]);
}
analyze_sparse(prhs[0]);
*/
} else {
target = (double *)mxGetPr(prhs[0]);
}
/* get the threshold */
minTarget = (double) mxGetScalar(prhs[1]);
/* check for debug flag */
if (nrhs == 3) {
debug = mxGetScalar(prhs[2]);
}
if (debug)
mexPrintf("Affty threshold: %2.3e\n",minTarget);
/* set up empty labels */
grabByteMemory((char **) &label,sizeof(ccLabelStruct *) * nX,"label");
for (ixy=0;ixy < nX; ixy++)
label[ixy] = NULL;
if (debug) {
mexPrintf("Computing connected components....");
}
if (sparseFlag) {
connectSymmetricSparse(label,rowPtr,colInfo,data, minTarget, nX, nY);
} else {
connectSymmetricDbl(label, target, minTarget, nX, nY);
}
if (debug) {
mexPrintf("done\n");
}
/* yalla edition */
/*
if (debug) {
mexPrintf("Pruning small or weak connected components....");
}
pruneLabelComp(label, nX, 1, 1, 0);
*/
if (debug) {
mexPrintf("done\n");
}
/* component count */
numComp = countLabelComp(label, nX, 1);
if (debug) {
mexPrintf("Found %d components.\n\n", numComp);
}
/*
if (numComp > 0)
printMarkovLabels(label,nX);
*/
/* return the labels to matlab */
if (nlhs > 0)
labels2mex(label, &plhs[0], nX );
if (nlhs > 1)
{
double *pout;
plhs[1] = mxCreateDoubleMatrix(1,1,mxREAL);
pout = mxGetPr(plhs[1]);
*pout = (double) numComp;
}
/* free up memory. */
/* target is a pointer to prhs[0]. so no need to free. */
/*utilFree( (void **)&target );*/
utilFree((void **)label);
/*
for (ixy = 0; ixy < nX; ixy++)
free(label[ixy]);
*/
}
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[] )
{ mxArray *blk_cell_pr;
double *Avec, *idxstarttmp, *nzlistAtmp, *permAtmp, *U, *V, *schur;
double *blksizetmp, *Utmp, *Vtmp, *schurcol, *nzschur, *P;
mwIndex *irP, *jcP, *irU, *jcU, *irV, *jcV;
int *idxstart, *colm, *permA, *nzlistAr, *nzlistAc;
int *nzlistAi, *nzlistAj, *blksize, *cumblksize, *blknnz, *blkidx;
mwIndex subs[2];
mwSize nsubs=2;
int index, colend, type, isspU, isspV, numblk, nzP, existP;
int len, row, col, nU, nV, n, m, m1, idx1, idx2, l, k, nsub, n1, n2, opt, opt2;
int kstart, kend, rb, cb, cblk, colcb, count;
double tmp;
/* CHECK THE DIMENSIONS */
if (nrhs < 10) {
mexErrMsgTxt(" mexschur: must have at least 10 inputs"); }
if (!mxIsCell(prhs[0])) {
mexErrMsgTxt("mexschur: 1ST input must be the cell array blk"); }
if (mxGetM(prhs[0])>1) {
mexErrMsgTxt("mexschur: blk can have only 1 row"); }
subs[0] = 0;
subs[1] = 1;
index = mxCalcSingleSubscript(prhs[0],nsubs,subs);
blk_cell_pr = mxGetCell(prhs[0],index);
numblk = mxGetN(blk_cell_pr);
blksizetmp = mxGetPr(blk_cell_pr);
blksize = mxCalloc(numblk,sizeof(int));
for (k=0; k<numblk; k++) {
blksize[k] = (int)blksizetmp[k];
}
/**** get pointers ****/
Avec = mxGetPr(prhs[1]);
if (!mxIsSparse(prhs[1])) {
mexErrMsgTxt("mexschur: Avec must be sparse"); }
idxstarttmp = mxGetPr(prhs[2]);
len = MAX(mxGetM(prhs[2]),mxGetN(prhs[2]));
idxstart = mxCalloc(len,sizeof(int));
for (k=0; k<len; k++) {
idxstart[k] = (int)idxstarttmp[k];
}
nzlistAtmp = mxGetPr(prhs[3]);
len = mxGetM(prhs[3]);
nzlistAi = mxCalloc(len,sizeof(int));
nzlistAj = mxCalloc(len,sizeof(int));
for (k=0; k<len; k++) {
nzlistAi[k] = (int)nzlistAtmp[k] -1; /* -1 to adjust for matlab index */
nzlistAj[k] = (int)nzlistAtmp[k+len] -1;
}
permAtmp = mxGetPr(prhs[4]);
m1 = mxGetN(prhs[4]);
permA = mxCalloc(m1,sizeof(int));
for (k=0; k<m1; k++) {
permA[k] = (int)permAtmp[k]-1; /* -1 to adjust for matlab index */
}
U = mxGetPr(prhs[5]); nU = mxGetM(prhs[5]);
isspU = mxIsSparse(prhs[5]);
if (isspU) { irU = mxGetIr(prhs[5]); jcU = mxGetJc(prhs[5]); }
V = mxGetPr(prhs[6]); nV = mxGetM(prhs[6]);
isspV = mxIsSparse(prhs[6]);
if (isspV) { irV = mxGetIr(prhs[6]); jcV = mxGetJc(prhs[6]); }
if ((isspU & !isspV) || (!isspU & isspV)) {
mexErrMsgTxt("mexschur: U,V must be both dense or both sparse");
}
colend = (int)*mxGetPr(prhs[7]);
type = (int)*mxGetPr(prhs[8]);
schur = mxGetPr(prhs[9]);
m = mxGetM(prhs[9]);
if (m!= m1) {
mexErrMsgTxt("mexschur: schur and permA are not compatible"); }
if (nrhs == 11) {
P=mxGetPr(prhs[10]); irP=mxGetIr(prhs[10]); jcP=mxGetJc(prhs[10]);
existP = 1;
} else {
existP = 0;
}
/************************************
* output
************************************/
plhs[0] = mxCreateDoubleMatrix(1,1,mxREAL);
nzschur = mxGetPr(plhs[0]);
if (nlhs==2) {
nzP = (int) (0.2*m*m+5);
plhs[1] = mxCreateSparse(m,colend,nzP,mxREAL);
P=mxGetPr(plhs[1]); irP=mxGetIr(plhs[1]); jcP=mxGetJc(plhs[1]);
jcP[0] = 0;
}
/************************************
* initialization
************************************/
if (isspU & isspV) {
cumblksize = mxCalloc(numblk+1,sizeof(int));
blknnz = mxCalloc(numblk+1,sizeof(int));
cumblksize[0] = 0; blknnz[0] = 0;
n1 = 0; n2 = 0;
for (k=0; k<numblk; ++k) {
nsub = blksize[k];
n1 += nsub;
n2 += nsub*nsub;
cumblksize[k+1] = n1;
blknnz[k+1] = n2; }
if (nU != n1 || nV != n1) {
mexErrMsgTxt("mexschur: blk and dimension of U not compatible"); }
Utmp = mxCalloc(n2,sizeof(double));
vec(numblk,cumblksize,blknnz,U,irU,jcU,Utmp);
Vtmp = mxCalloc(n2,sizeof(double));
vec(numblk,cumblksize,blknnz,V,irV,jcV,Vtmp);
blkidx = mxCalloc(nU,sizeof(int));
for (l=0; l<numblk; l++) {
kstart=cumblksize[l]; kend=cumblksize[l+1];
for (k=kstart; k<kend; k++) { blkidx[k] = l; }
}
nzlistAc = mxCalloc(len,sizeof(int));
nzlistAr = mxCalloc(len,sizeof(int));
for (k=0; k<len; k++) {
rb = nzlistAi[k];
cb = nzlistAj[k];
cblk = blkidx[cb]; colcb = cumblksize[cblk];
nzlistAc[k] = blknnz[cblk]+(cb-colcb)*blksize[cblk]-colcb;
nzlistAr[k] = blknnz[cblk]+(rb-colcb)*blksize[cblk]-colcb;
}
}
/************************************
* compute schur(i,j)
************************************/
colm = mxCalloc(colend,sizeof(int));
for (k=0; k<colend; k++) { colm[k] = permA[k]*m; }
n = nU;
if (type==1 & !isspU) { opt=1; }
else if (type==0 & !isspU) { opt=3; }
else if (type==1 & isspU) { opt=2; }
else if (type==0 & isspU) { opt=4; }
/*************************************/
schurcol = mxCalloc(colend,sizeof(double));
count = 0;
for (col=0; col<colend; col++) {
if (existP) {
setvec(col,schurcol,0.0);
for (k=jcP[col]; k<jcP[col+1]; k++) { schurcol[irP[k]]=1.0;}
} else {
setvec(col,schurcol,1.0);
}
if (opt==1) {
schurij1(n,Avec,idxstart,nzlistAi,nzlistAj,U,col,schurcol);
} else if (opt==3) {
schurij3(n,Avec,idxstart,nzlistAi,nzlistAj,U,V,col,schurcol);
} else if (opt==2) {
schurij2(Avec,idxstart,nzlistAi,nzlistAj,Utmp, \
nzlistAr,nzlistAc,cumblksize,blkidx,col,schurcol);
} else if (opt==4) {
schurij4(Avec,idxstart,nzlistAi,nzlistAj,Utmp,Vtmp, \
nzlistAr,nzlistAc,cumblksize,blkidx,col,schurcol);
}
for (row=0; row<=col; row++) {
if (schurcol[row] != 0) {
if (count<nzP & nlhs==2) { jcP[col+1]=count+1; irP[count]=row; P[count]=1; }
count++;
idx1 = permA[row]+colm[col];
idx2 = permA[col]+colm[row];
schur[idx1] += schurcol[row];
schur[idx2] = schur[idx1];
}
}
}
nzschur[0] = count;
mxFree(blksize); mxFree(nzlistAi); mxFree(nzlistAj);
mxFree(permA); mxFree(idxstart); mxFree(schurcol);
if (isspU) {
mxFree(Utmp); mxFree(Vtmp);
mxFree(nzlistAc); mxFree(nzlistAr);
mxFree(blknnz); mxFree(cumblksize); mxFree(blkidx);
}
return;
}
/*============================================================*/
void mexFunction_float( int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[] )
{
float *image, *tmp;
int nX, nY;
ccLabelStruct **label;
int ixy;
int numComp, t;
float minTarget; /* 0.001 = boxes02-add.pgm */
float *target;
float debug = 0;
RanTimeSeed;
/*mexPrintf("nlhs:%d nrhs: %d\n",nlhs,nrhs);*/
/* check for the required input arguments */
if( nrhs < 2 )
mexErrMsgTxt( "Input expected: <symmetric-positive-array-for-cca> <affty-threshold> <1-for-debug>" );
/* get the symmetric matrix */
mex2float( prhs[0], &target, &nX, &nY);
/*mexPrintf("size: %d %d\n",nX,nY);*/
/* get the threshold */
minTarget = mxGetScalar(prhs[1]);
if (nrhs == 3) {
debug = mxGetScalar(prhs[2]);
}
if (debug)
mexPrintf("Affty threshold: %2.3e\n",minTarget);
/* set up empty labels */
grabByteMemory((char **) &label,sizeof(ccLabelStruct *) * nX,"label");
for (ixy=0;ixy < nX; ixy++)
label[ixy] = NULL;
if (debug) {
mexPrintf("Computing connected components....");
}
connectSymmetric(label, target, minTarget, nX, nY);
if (debug) {
mexPrintf("done\n");
}
if (debug) {
mexPrintf("Pruning small or weak connected components....");
}
pruneLabelComp(label, nX, 1, 1, 0);
if (debug) {
mexPrintf("done\n");
}
/* component count */
numComp = countLabelComp(label, nX, 1);
if (debug) {
mexPrintf("Found %d components.\n\n", numComp);
}
/*
if (numComp > 0)
printMarkovLabels(label,nX);
*/
/* return the labels to matlab */
if (nlhs > 0)
labels2mex(label, &plhs[0], nX );
if (nlhs > 1)
{
double *pout;
plhs[1] = mxCreateDoubleMatrix(1,1,mxREAL);
pout = mxGetPr(plhs[1]);
*pout = (double) numComp;
}
/* free up memory */
utilFree( (void **)&target );
utilFree((void **)label);
/*
for (ixy = 0; ixy < nX; ixy++)
free(label[ixy]);
*/
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs,const mxArray *prhs[])
{
//lhs: left-hand-side, means outputs. rhs: right-hand-side, means inputs.
const mwSize *dims1, *dims2;
mwSize ndim1, ndim2;
usb_dev_handle *hdl;
int configuration, result;
//check the number of input and output
if (nrhs != 2)
{
mexErrMsgTxt("result = libusb_usb_set_configuration(usb_dev_hdl, configuration): need 2 inputs, no more no less.");
}
if (nlhs > 1)
{
mexErrMsgTxt("result = libusb_usb_set_configuration(usb_dev_hdl, configuration): only 1 output, no more no less.");
}
//check if the inputs are scalar
ndim1 = mxGetNumberOfDimensions(prhs[0]);
dims1 = mxGetDimensions(prhs[0]);
ndim2 = mxGetNumberOfDimensions(prhs[1]);
dims2 = mxGetDimensions(prhs[1]);
if (ndim1 != 2 || ndim2 != 2 || dims1[0]*dims1[1] > 1 || dims2[0]*dims2[1] > 1)
{
mexErrMsgTxt("result = libusb_usb_set_configuration(usb_dev_hdl, configuration) input should be scalar");
}
if(mxGetClassID(prhs[0]) != mxUINT64_CLASS)
{
mexErrMsgTxt("Function first input should be unsigned 64 bit int: result = libusb_usb_set_configuration(usb_dev_hdl, configuration)");
}
if(mxGetClassID(prhs[1]) != mxINT32_CLASS)
{
mexErrMsgTxt("Function second input should be 32 bit int: result = libusb_usb_set_configuration(usb_dev_hdl, configuration)");
}
//usb_init(); /* initialize the library */
//usb_find_busses(); /* find all busses */
//usb_find_devices(); /* find all connected devices */
hdl = (usb_dev_handle*)(*(U64*)(mxGetData(prhs[0])));
configuration = *(int*)(mxGetData(prhs[1]));
plhs[0] = mxCreateNumericArray(2, dims1, mxINT32_CLASS, mxREAL);
if(hdl == NULL)
{
mexPrintf("Device handler is null and cannot set configuration.\r\n");
*(int*)mxGetData(plhs[0]) = -1;
}
else
{
result = usb_set_configuration(hdl,configuration);
if(result < 0)
mexPrintf("Error when setting device 0x%x, configuration: %d, return value: %d.\r\n Error string: %s\r\n",hdl, configuration, result, usb_strerror());
else
mexPrintf("Device 0x%x configuration %d set successfully. return value: %d.\r\n",hdl,configuration,result);
*(int*)mxGetData(plhs[0]) = result;
}
}
/* The matlab mex function */
void mexFunction( int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[] )
{
HRESULT hr;
// Get pointer to Kinect handles
unsigned __int64 *MXadress;
if(nrhs==0) {
mexErrMsgTxt("Give Pointer to Kinect as input");
}
MXadress = (unsigned __int64*)mxGetData(prhs[0]);
int depthwidth=(int)MXadress[7];
int depthheight=(int)MXadress[8];
// Initialize Output Skeleton Array
int Jdimsc[2];
Jdimsc[0]=200; Jdimsc[1]=6;
plhs[0] = mxCreateNumericArray(2, Jdimsc, mxDOUBLE_CLASS, mxREAL);
double *Pos;
Pos = mxGetPr(plhs[0]);
NUI_SKELETON_FRAME SkeletonFrame;
// Wait for a Skeleton_Frame to arrive
hr = NuiSkeletonGetNextFrame( 200, &SkeletonFrame );
if( FAILED( hr ) )
{
printf("Failed to get Frame\r\n");
}
else
{
// Check if there is a Skeleton found
bool NoSkeletonFound = true;
for( int i = 0 ; i < NUI_SKELETON_COUNT ; i++ )
{
if( SkeletonFrame.SkeletonData[i].eTrackingState == NUI_SKELETON_TRACKED )
{
NoSkeletonFound = false;
}
}
if( NoSkeletonFound ) { return; }
// Smooth the skeleton data
NuiTransformSmooth(&SkeletonFrame,NULL);
// Copy Skeleton points to output array
int r=0;
for( int i = 0 ; i < NUI_SKELETON_COUNT ; i++ )
{
if( SkeletonFrame.SkeletonData[i].eTrackingState == NUI_SKELETON_TRACKED )
{
NUI_SKELETON_DATA * pSkel = &SkeletonFrame.SkeletonData[i];
int j;
float fx=0,fy=0;
for (j = 0; j < NUI_SKELETON_POSITION_COUNT; j++)
{
Pos[j+r]=i+1;
Pos[j+r+Jdimsc[0]]=pSkel->SkeletonPositions[j].x;
Pos[j+r+Jdimsc[0]*2]=pSkel->SkeletonPositions[j].y;
Pos[j+r+Jdimsc[0]*3]=pSkel->SkeletonPositions[j].z;
NuiTransformSkeletonToDepthImage( pSkel->SkeletonPositions[j], &fx, &fy );
Pos[j+r+Jdimsc[0]*4] = (double) ( fx * depthwidth + 0.5f );
Pos[j+r+Jdimsc[0]*5] = (double) ( fy * depthheight + 0.5f );
}
r+=NUI_SKELETON_POSITION_COUNT;
}
}
}
}
void mexFunction( int nl, mxArray *pl[], int nr, const mxArray *pr[] )
{
char action[1024]; if(!nr) mexErrMsgTxt("Inputs expected.");
mxGetString(pr[0],action,1024); nr--; pr++;
char *endptr; JsonValue val; JsonAllocator allocator;
if( nl>1 ) mexErrMsgTxt("One output expected.");
if(!strcmp(action,"convert")) {
if( nr!=1 ) mexErrMsgTxt("One input expected.");
if( mxGetClassID(pr[0])==mxCHAR_CLASS ) {
// object = mexFunction( string )
char *str = mxArrayToStringRobust(pr[0]);
int status = jsonParse(str, &endptr, &val, allocator);
if( status != JSON_OK) mexErrMsgTxt(jsonStrError(status));
pl[0] = json(val); mxFree(str);
} else {
// string = mexFunction( object )
ostrm S; S << std::setprecision(10); json(S,pr[0]);
pl[0]=mxCreateStringRobust(S.str().c_str());
}
} else if(!strcmp(action,"split")) {
// strings = mexFunction( string, k )
if( nr!=2 ) mexErrMsgTxt("Two input expected.");
char *str = mxArrayToStringRobust(pr[0]);
int status = jsonParse(str, &endptr, &val, allocator);
if( status != JSON_OK) mexErrMsgTxt(jsonStrError(status));
if( val.getTag()!=JSON_ARRAY ) mexErrMsgTxt("Array expected");
siz i=0, t=0, n=length(val), k=(siz) mxGetScalar(pr[1]);
k=(k>n)?n:(k<1)?1:k; k=ceil(n/ceil(double(n)/k));
pl[0]=mxCreateCellMatrix(1,k); ostrm S; S<<std::setprecision(10);
for(auto o:val) {
if(!t) { S.str(std::string()); S << "["; t=ceil(double(n)/k); }
json(S,&o->value); t--; if(!o->next) t=0; S << (t ? "," : "]");
if(!t) mxSetCell(pl[0],i++,mxCreateStringRobust(S.str().c_str()));
}
} else if(!strcmp(action,"merge")) {
// string = mexFunction( strings )
if( nr!=1 ) mexErrMsgTxt("One input expected.");
if(!mxIsCell(pr[0])) mexErrMsgTxt("Cell array expected.");
siz n = mxGetNumberOfElements(pr[0]);
ostrm S; S << std::setprecision(10); S << "[";
for( siz i=0; i<n; i++ ) {
char *str = mxArrayToStringRobust(mxGetCell(pr[0],i));
int status = jsonParse(str, &endptr, &val, allocator);
if( status != JSON_OK) mexErrMsgTxt(jsonStrError(status));
if( val.getTag()!=JSON_ARRAY ) mexErrMsgTxt("Array expected");
for(auto j:val) json(S,&j->value) << (j->next ? "," : "");
mxFree(str); if(i<n-1) S<<",";
}
S << "]"; pl[0]=mxCreateStringRobust(S.str().c_str());
} else mexErrMsgTxt("Invalid action.");
}
void mexFunction( int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
tt_buf* buffer;
int timetagger;
uint64_t datapoints;
uint64_t total; //The total amount of data in the buffer
uint64_t i; //Temporary loop variable
uint64_t j=0;
double *channels=NULL, *timebins;
if (nrhs == 2 && mxIsDouble(prhs[0]) && mxIsDouble(prhs[1])) {
timetagger = (int)mxGetScalar(prhs[0]);
datapoints = (uint64_t)mxGetScalar(prhs[1]);
} else {
mexErrMsgTxt("Inputs:\n\tTime tag buffer to dump from.\n\tNumber of datapoints to dump.\nOutputs:\n\tArray of time stamps\n\tArray of corresponding channels");
return;
}
if (datapoints==0) {
mexErrMsgTxt("No datapoints were specified!");
return;
}
buffer = tt_open(timetagger);
if (buffer) {
total = tt_datapoints(buffer);
if (datapoints > total) {
mexPrintf("Warning: Not enough datapoints! Only reading saved datapoints!\n");
datapoints = total;
}
if (datapoints > tt_maxdata(buffer)) {
mexPrintf("Warning: There are not enough datapoints saved. Only reading to end of buffer!\n");
datapoints = tt_maxdata(buffer); //Only read up to the entire buffer
}
if (nlhs>=2) {
plhs[0] = mxCreateDoubleMatrix(1,(int)datapoints,mxREAL);
channels = mxGetPr(plhs[0]);
plhs[1] = mxCreateDoubleMatrix(1,(int)datapoints,mxREAL);
timebins = mxGetPr(plhs[1]);
} else {
plhs[0] = mxCreateDoubleMatrix(1,(int)datapoints,mxREAL);
timebins = mxGetPr(plhs[0]);
}
//Read the array of data
if (isnan(tt_resolution(buffer))) {
mexPrintf("Warning: Resolution unset. Returning raw data.\n");
if (channels) {
for (i=total-datapoints;i<total;i++) {
channels[j] = (double)tt_channel(buffer,i)+1.0; //Matlab has this weird off by one thing...
timebins[j] = (double)tt_tag(buffer,i);
j++;
}
} else {
for (i=total-datapoints;i<total;i++) {
timebins[j] = (double)tt_tag(buffer,i);
j++;
}
}
} else {
if (channels) {
for (i=total-datapoints;i<total;i++) {
channels[j] = (double)tt_channel(buffer,i)+1.0; //Matlab has this weird off by one thing...
timebins[j] = (double)tt_tag(buffer,i)*tt_resolution(buffer);
j++;
}
} else {
for (i=total-datapoints;i<total;i++) {
timebins[j] = (double)tt_tag(buffer,i)*tt_resolution(buffer);
j++;
}
}
}
tt_close(buffer);
} else {
mexErrMsgTxt("Unable to connect to time tag buffer! Is all necessary software running?");
}
}
//Gateway routine
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
//Read input arguments
char outputFormat[10];
char outputVarName[MAXVARNAMESIZE];
int outputVarSampsPerChan;
double timeout;
int numSampsPerChan;
bool outputData; //Indicates whether to return an outputData argument
mxClassID outputDataClass;
uInt32 bufSize;
bool writeDigitalLines;
uInt32 bytesPerChan=0;
TaskHandle taskID, *taskIDPtr;
int32 status;
//Get TaskHandle
taskIDPtr = (TaskHandle*)mxGetData(mxGetProperty(prhs[0],0, "taskID"));
taskID = *taskIDPtr;
//Determine if this is a buffered read operation
status = DAQmxGetBufInputBufSize(taskID, &bufSize);
if (status)
handleDAQmxError(status, "DAQmxGetBufInputBufSize");
//Handle input arguments
if ((nrhs < 2) || mxIsEmpty(prhs[1]) || mxIsInf(mxGetScalar(prhs[1])))
{
if (bufSize==0)
numSampsPerChan = 1;
else
numSampsPerChan = DAQmx_Val_Auto;
}
else
numSampsPerChan = (int) mxGetScalar(prhs[1]);
if ((nrhs < 3) || mxIsEmpty(prhs[2]))
{
//Automatic determination of read type
bool isLineBased = (bool) mxGetScalar(mxGetProperty(prhs[0],0,"isLineBasedDigital"));
if ((bufSize==0) && isLineBased) //This is a non-buffered, line-based Task: return data as a double array
outputDataClass = mxDOUBLE_CLASS;
else
{
status = DAQmxGetReadDigitalLinesBytesPerChan(taskID,&bytesPerChan); //This actually returns the number of bytes required to represent one sample of Channel data
if (status)
handleDAQmxError(status, "DAQmxGetReadDigitalLinesBytesPerChan");
if (bytesPerChan <= 8)
outputDataClass = mxUINT8_CLASS;
else if (bytesPerChan <= 16)
outputDataClass = mxUINT16_CLASS;
else if (bytesPerChan <= 32)
outputDataClass = mxUINT32_CLASS;
else
mexErrMsgTxt("It is not currently possible to read integer values from Task with greater than 32 lines per sample value");
}
}
else
{
mxGetString(prhs[2], outputFormat, 10);
if (_strcmpi(outputFormat,"uint8"))
outputDataClass = mxUINT8_CLASS;
else if (_strcmpi(outputFormat,"uint16"))
outputDataClass = mxUINT16_CLASS;
else if (_strcmpi(outputFormat,"uint32"))
outputDataClass = mxUINT32_CLASS;
else if (_strcmpi(outputFormat,"double"))
outputDataClass = mxDOUBLE_CLASS;
else if (_strcmpi(outputFormat,"logical"))
outputDataClass = mxLOGICAL_CLASS;
else
mexErrMsgTxt("The specified 'outputFormat' value (case-sensitive) is not recognized.");
}
if ((outputDataClass == mxDOUBLE_CLASS) || (outputDataClass == mxLOGICAL_CLASS))
{
writeDigitalLines = true;
if (bytesPerChan == 0)
{
status = DAQmxGetReadDigitalLinesBytesPerChan(taskID,&bytesPerChan); //This actually returns the number of bytes required to represent one sample of Channel data
if (status)
handleDAQmxError(status, "DAQmxGetReadDigitalLinesBytesPerChan");
}
}
else
writeDigitalLines = false;
if ((nrhs < 4) || mxIsEmpty(prhs[3]) || mxIsInf(mxGetScalar(prhs[3])))
timeout = DAQmx_Val_WaitInfinitely;
else
timeout = mxGetScalar(prhs[3]);
if ((nrhs < 5) || mxIsEmpty(prhs[4])) //OutputVarSizeOrName argument
{
outputData = true;
outputVarSampsPerChan = numSampsPerChan; //If value is DAQmx_Val_Auto, then the # of samples available will be queried before allocting array
}
else
{
outputData = mxIsNumeric(prhs[4]);
if (outputData)
{
if (nlhs < 2)
mexErrMsgTxt("There must be two output arguments specified if a preallocated MATLAB variable is not specified");
outputVarSampsPerChan = (int) mxGetScalar(prhs[4]);
}
else
mxGetString(prhs[4], outputVarName, MAXVARNAMESIZE);
}
//Determin # of output channels
uInt32 numChannels;
DAQmxGetReadNumChans(taskID, &numChannels); //Reflects number of channels in Task, or the number of channels specified by 'ReadChannelsToRead' property
//Determine output buffer/size (creating if needed)
mxArray *outputDataBuf, *outputDataBufTrue;
void *outputDataPtr;
//float64 *outputDataPtr;
if (outputData)
{
mwSize numRows;
if (outputVarSampsPerChan == DAQmx_Val_Auto)
{
status = DAQmxGetReadAvailSampPerChan(taskID, (uInt32 *)&outputVarSampsPerChan);
if (status)
{
handleDAQmxError(status, "DAQmxGetReadAvailSampPerChan");
return;
}
}
if (writeDigitalLines)
numRows = (mwSize) (outputVarSampsPerChan * bytesPerChan);
else
numRows = (mwSize) outputVarSampsPerChan;
if (outputDataClass == mxDOUBLE_CLASS)
{
outputDataBuf = mxCreateNumericMatrix(numRows,numChannels,mxUINT8_CLASS,mxREAL);
outputDataBufTrue = mxCreateDoubleMatrix(numRows,numChannels,mxREAL);
}
else
outputDataBuf = mxCreateNumericMatrix(numRows,numChannels,outputDataClass,mxREAL);
}
else //I don't believe this is working
{
outputDataBuf = mexGetVariable("caller", outputVarName);
outputVarSampsPerChan = mxGetM(outputDataBuf);
//TODO: Add check to ensure WS variable is of correct class
}
outputDataPtr = mxGetData(outputDataBuf);
//Read data
int32 numSampsRead;
int32 numBytesPerSamp;
switch (outputDataClass)
{
case mxUINT8_CLASS:
status = DAQmxReadDigitalU8(taskID, numSampsPerChan, timeout, fillMode, (uInt8*) outputDataPtr, outputVarSampsPerChan * numChannels, &numSampsRead, NULL);
break;
case mxUINT16_CLASS:
status = DAQmxReadDigitalU16(taskID, numSampsPerChan, timeout, fillMode, (uInt16*) outputDataPtr, outputVarSampsPerChan * numChannels, &numSampsRead, NULL);
break;
case mxUINT32_CLASS:
status = DAQmxReadDigitalU32(taskID, numSampsPerChan, timeout, fillMode, (uInt32*) outputDataPtr, outputVarSampsPerChan * numChannels, &numSampsRead, NULL);
break;
case mxLOGICAL_CLASS:
case mxDOUBLE_CLASS:
status = DAQmxReadDigitalLines(taskID, numSampsPerChan, timeout, fillMode, (uInt8*) outputDataPtr, outputVarSampsPerChan * numChannels * bytesPerChan, &numSampsRead, &numBytesPerSamp, NULL);
break;
default:
mexErrMsgTxt("There must be two output arguments specified if a preallocated MATLAB variable is not specified");
}
//Return output data
if (!status)
{
//mexPrintf("Successfully read %d samples of data\n", numSampsRead);
if (outputData)
{
if (nlhs > 0)
{
if (outputDataClass == mxDOUBLE_CLASS)
{
//Convert logical data to double type
double *outputDataTruePtr = mxGetPr(outputDataBufTrue);
for (size_t i=0;i < mxGetNumberOfElements(outputDataBuf);i++)
*(outputDataTruePtr+i) = (double) *((uInt8 *)outputDataPtr+i);
mxDestroyArray(outputDataBuf);
plhs[0] = outputDataBufTrue;
}
else
plhs[0] = outputDataBuf;
}
else
mxDestroyArray(outputDataBuf); //If you don't read out, all the reading was done for naught
}
else //I don't believe this is working
{
mexErrMsgTxt("invalid branch");
mexPutVariable("caller", outputVarName, outputDataBuf);
if (nlhs > 0) //Return empty value for output data
plhs[0] = mxCreateDoubleMatrix(0,0,mxREAL);
}
if (nlhs > 1) //Return number of samples actually read
{
double *sampsReadOutput;
plhs[1] = mxCreateDoubleScalar(0);
sampsReadOutput = mxGetPr(plhs[1]);
*sampsReadOutput = (double)numSampsRead;
}
}
else //Read failed
handleDAQmxError(status, mexFunctionName());
}
/*
* function [ res ] = graphKernelDelta( edges1, edges2, nodes1, nodes2, lambda, epsilon );
*/
void mexFunction( int nlhs, mxArray* plhs[], int nrhs, const mxArray* prhs[] )
{
// check number of output params
if( nlhs == 0 ) {
printf( "%s\n", copyright );
mexErrMsgTxt( syntax );
return;
}
if( !( nlhs == 1 ) ) {
int i;
for( i = 1; i < nlhs; ++i ) {
plhs[i] = mxCreateDoubleMatrix( 1, 1, mxREAL );
double* const matPtr = mxGetPr( plhs[i] );
*matPtr = mxGetNaN();
}
}
// prepare for unsuccessful return
plhs[0] = mxCreateDoubleMatrix( 1, 1, mxREAL );
double* const resPtr = mxGetPr( plhs[0] );
*resPtr = mxGetNaN();
// check number of input params
if( !( nrhs == 6 ) ) {
printf( "found %d parameters\n", nrhs );
mexErrMsgTxt( syntax );
return;
}
// setup constants
#define edges1_ ( prhs[ 0 ] )
#define edges2_ ( prhs[ 1 ] )
#define nodes1_ ( prhs[ 2 ] )
#define nodes2_ ( prhs[ 3 ] )
#define lambda_ ( prhs[ 4 ] )
#define epsilon_ ( prhs[ 5 ] )
const double* const edges1 = (double *) mxGetPr( edges1_ );
const double* const edges2 = (double *) mxGetPr( edges2_ );
const double* const nodes1 = (double *) mxGetPr( nodes1_ );
const double* const nodes2 = (double *) mxGetPr( nodes2_ );
const double lambda = *( (double *) mxGetPr( lambda_ ) );
const double epsilon = *( (double *) mxGetPr( epsilon_ ) );
const int n1 = (int)( mxGetM( nodes1_ ) );
const int n2 = (int)( mxGetM( nodes2_ ) );
// check input
if( !( mxGetN( nodes1_ ) == 1 && mxGetN( nodes2_ ) == 1 ) ) {
printf( "second dimension of nodes must be 1\n" );
mexErrMsgTxt( syntax );
return;
}
if( !( mxGetM( edges1_ ) == n1 && mxGetN( edges1_ ) == n1 ) ) {
printf( "edges1 must be square\n" );
mexErrMsgTxt( syntax );
return;
}
if( !( mxGetM( edges2_ ) == n2 && mxGetN( edges2_ ) == n2 ) ) {
printf( "edges2 must be square\n" );
mexErrMsgTxt( syntax );
return;
}
if( !( 0 <= lambda && lambda <= 1 ) ) {
printf( "lambda must be between 0 and 1\n" );
mexErrMsgTxt( syntax );
return;
}
// setup variables
double* probStart1s = new double[ n1 ];
double* probStart2s = new double[ n2 ];
double* probQuit1s = new double[ n1 ];
double* probQuit2s = new double[ n2 ];
double* probTrans1s = new double[ n1*n1 ];
double* probTrans2s = new double[ n2*n2 ];
// initialize probability distributions
const double probStart1 = 1.0 / n1;
const double probStart2 = 1.0 / n2;
const double lambdaNeg = 1 - lambda;
register int i;
register int j;
register int l;
// - start and quit probabilities, graph 1
for( i = 0; i < n1; ++i ) {
probStart1s[ i ] = probStart1;
probQuit1s[ i ] = lambda;
}
// - start and quit probabilities, graph 2
for( i = 0; i < n2; ++i ) {
probStart2s[ i ] = probStart2;
probQuit2s[ i ] = lambda;
}
// - transition probabilities, graph 1
l = 0;
for( j = 0; j < n1; ++j ) {
register int outDegree = 0;
for( i = 0; i < n1; ++i ) {
outDegree += ( edges1[l] != 0 );
++l;
}
l -= n1;
register const double probTrans = lambdaNeg / outDegree;
for( i = 0; i < n1; ++i ) {
probTrans1s[l] = ( edges1[l] != 0 ) ? probTrans : 0;
++l;
}
}
// - transition probabilities, graph 2
l = 0;
for( j = 0; j < n2; ++j ) {
register int outDegree = 0;
for( i = 0; i < n2; ++i ) {
outDegree += ( edges2[l] != 0 );
++l;
}
l -= n2;
register const double probTrans = lambdaNeg / outDegree;
for( i = 0; i < n2; ++i ) {
probTrans2s[l] = ( edges2[l] != 0 ) ? probTrans : 0;
++l;
}
}
// compute
const double result = graphKernel( n1, n2, edges1, edges2, nodes1, nodes2, probStart1s, probStart2s, probQuit1s, probQuit2s, probTrans1s, probTrans2s, epsilon );
// return the final result
*resPtr = result;
delete[] probStart1s;
delete[] probStart2s;
delete[] probQuit1s;
delete[] probQuit2s;
delete[] probTrans1s;
delete[] probTrans2s;
}
void mexFunction(int nlhs, /* No. of output arguments */
mxArray *plhs[], /* Output arguments. */
int nrhs, /* No. of input arguments. */
const mxArray *prhs[]) /* Input arguments. */
{
int ndim, pm_ndim;
int n, i;
const int *cdim = NULL, *pm_cdim = NULL;
unsigned int dim[3];
unsigned int nnz = 0;
double *rima = NULL;
double *pm = NULL;
double *ii = NULL, *jj = NULL;
double *nn = NULL, *pp = NULL;
double *tmp = NULL;
if (nrhs == 0) mexErrMsgTxt("usage: [i,j,n,p]=pm_create_connectogram_dtj(rima,pm)");
if (nrhs != 2) mexErrMsgTxt("pm_create_connectogram_dtj: 2 input arguments required");
if (nlhs != 4) mexErrMsgTxt("pm_create_connectogram_dtj: 4 output argument required");
/* Get connected components map. */
if (!mxIsNumeric(prhs[0]) || mxIsComplex(prhs[0]) || mxIsSparse(prhs[0]) || !mxIsDouble(prhs[0]))
{
mexErrMsgTxt("pm_bwlabel_dtj: rima must be numeric, real, full and double");
}
ndim = mxGetNumberOfDimensions(prhs[0]);
if ((ndim < 2) | (ndim > 3))
{
mexErrMsgTxt("pm_bwlabel_dtj: rima must be 2 or 3-dimensional");
}
cdim = mxGetDimensions(prhs[0]);
rima = mxGetPr(prhs[0]);
/* Get phase-map. */
if (!mxIsNumeric(prhs[1]) || mxIsComplex(prhs[1]) || mxIsSparse(prhs[1]) || !mxIsDouble(prhs[1]))
{
mexErrMsgTxt("pm_bwlabel_dtj: pm must be numeric, real, full and double");
}
pm_ndim = mxGetNumberOfDimensions(prhs[1]);
if (pm_ndim != ndim)
{
mexErrMsgTxt("pm_bwlabel_dtj: rima and pm must have same dimensionality");
}
pm_cdim = mxGetDimensions(prhs[1]);
for (i=0; i<ndim; i++)
{
if (cdim[i] != pm_cdim[i])
{
mexErrMsgTxt("pm_bwlabel_dtj: rima and pm must have same size");
}
}
pm = mxGetPr(prhs[1]);
/* Fix dimensions to allow for 2D and 3D data. */
dim[0]=cdim[0]; dim[1]=cdim[1];
if (ndim==2) {dim[2]=1; ndim=3;} else {dim[2]=cdim[2];}
for (i=0, n=1; i<ndim; i++)
{
n *= dim[i];
}
/*
Create ii, jj, and nn and pp vectors for subsequent
use by the matlab sparse function such that
N = sparse(ii,jj,nn,nnz) generates a matrix where
each non-zero entry signifies the no. of voxels
along the border of the corresponding regions.
*/
nnz = make_vectors(rima,pm,dim,&ii,&jj,&nn,&pp);
/* Allocate memory for output. */
plhs[0] = mxCreateDoubleMatrix(nnz,1,mxREAL);
tmp = mxGetPr(plhs[0]);
memcpy(tmp,ii,nnz*sizeof(double));
plhs[1] = mxCreateDoubleMatrix(nnz,1,mxREAL);
tmp = mxGetPr(plhs[1]);
memcpy(tmp,jj,nnz*sizeof(double));
plhs[2] = mxCreateDoubleMatrix(nnz,1,mxREAL);
tmp = mxGetPr(plhs[2]);
memcpy(tmp,nn,nnz*sizeof(double));
plhs[3] = mxCreateDoubleMatrix(nnz,1,mxREAL);
tmp = mxGetPr(plhs[3]);
memcpy(tmp,pp,nnz*sizeof(double));
/* Clean up a bit. */
mxFree(ii); mxFree(jj); mxFree(nn); mxFree(pp);
return;
}
void read_input_parameters(int argc,char **argv,char *docfile,char *modelfile,
char *restartfile,long *verbosity,
LEARN_PARM *learn_parm,KERNEL_PARM *kernel_parm)
{
long i;
char type[100];
char msg[512], msg1[255],msg2[255];
/* set default */
strcpy (modelfile, "svm_model");
strcpy (learn_parm->predfile, "trans_predictions");
strcpy (learn_parm->alphafile, "");
strcpy (restartfile, "");
(*verbosity)=1;
learn_parm->biased_hyperplane=1;
learn_parm->sharedslack=0;
learn_parm->remove_inconsistent=0;
learn_parm->skip_final_opt_check=0;
learn_parm->svm_maxqpsize=10;
learn_parm->svm_newvarsinqp=0;
learn_parm->svm_iter_to_shrink=-9999;
learn_parm->maxiter=100000;
learn_parm->kernel_cache_size=40;
learn_parm->svm_c=0.0;
learn_parm->eps=0.1;
learn_parm->transduction_posratio=-1.0;
learn_parm->svm_costratio=1.0;
learn_parm->svm_costratio_unlab=1.0;
learn_parm->svm_unlabbound=1E-5;
learn_parm->epsilon_crit=0.001;
learn_parm->epsilon_a=1E-15;
learn_parm->compute_loo=0;
learn_parm->rho=1.0;
learn_parm->xa_depth=0;
kernel_parm->kernel_type=0;
kernel_parm->poly_degree=3;
kernel_parm->rbf_gamma=1.0;
kernel_parm->coef_lin=1;
kernel_parm->coef_const=1;
strcpy(kernel_parm->custom,"empty");
strcpy(type,"c");
for(i=1;(i<argc) && ((argv[i])[0] == '-');i++) {
switch ((argv[i])[1])
{
case 'z': i++; strcpy(type,argv[i]); break;
case 'v': i++; (*verbosity)=atol(argv[i]); break;
case 'b': i++; learn_parm->biased_hyperplane=atol(argv[i]); break;
case 'i': i++; learn_parm->remove_inconsistent=atol(argv[i]); break;
case 'f': i++; learn_parm->skip_final_opt_check=!atol(argv[i]); break;
case 'q': i++; learn_parm->svm_maxqpsize=atol(argv[i]); break;
case 'n': i++; learn_parm->svm_newvarsinqp=atol(argv[i]); break;
case '#': i++; learn_parm->maxiter=atol(argv[i]); break;
case 'h': i++; learn_parm->svm_iter_to_shrink=atol(argv[i]); break;
case 'm': i++; learn_parm->kernel_cache_size=atol(argv[i]); break;
case 'c': i++; learn_parm->svm_c=atof(argv[i]); break;
case 'w': i++; learn_parm->eps=atof(argv[i]); break;
case 'p': i++; learn_parm->transduction_posratio=atof(argv[i]); break;
case 'j': i++; learn_parm->svm_costratio=atof(argv[i]); break;
case 'e': i++; learn_parm->epsilon_crit=atof(argv[i]); break;
case 'o': i++; learn_parm->rho=atof(argv[i]); break;
case 'k': i++; learn_parm->xa_depth=atol(argv[i]); break;
case 'x': i++; learn_parm->compute_loo=atol(argv[i]); break;
case 't': i++; kernel_parm->kernel_type=atol(argv[i]); break;
case 'd': i++; kernel_parm->poly_degree=atol(argv[i]); break;
case 'g': i++; kernel_parm->rbf_gamma=atof(argv[i]); break;
case 's': i++; kernel_parm->coef_lin=atof(argv[i]); break;
case 'r': i++; kernel_parm->coef_const=atof(argv[i]); break;
case 'l': i++; strcpy(learn_parm->predfile,argv[i]); break;
case 'a': i++; strcpy(learn_parm->alphafile,argv[i]); break;
case 'y': i++; strcpy(restartfile,argv[i]); break;
default:
sprintf(msg,"\nUnrecognized option %s!\n\n",argv[i]);
mexErrMsgTxt(msg);
}
}
if ((i>1) && (i>argc)) {
printf ("Errr? i=%d, argc=%d\n", i, argc);
mexErrMsgTxt("Not enough input parameters!\n\n");
}
/* don't read a docfile!!
/* strcpy (docfile, argv[i]);
if((i+1)<argc) {
strcpy (modelfile, argv[i+1]);
}
*/
if(learn_parm->svm_iter_to_shrink == -9999) {
if(kernel_parm->kernel_type == LINEAR)
learn_parm->svm_iter_to_shrink=2;
else
learn_parm->svm_iter_to_shrink=100;
}
if(strcmp(type,"c")==0) {
learn_parm->type=CLASSIFICATION;
}
else if(strcmp(type,"r")==0) {
learn_parm->type=REGRESSION;
}
else if(strcmp(type,"p")==0) {
learn_parm->type=RANKING;
}
else if(strcmp(type,"o")==0) {
learn_parm->type=OPTIMIZATION;
}
else if(strcmp(type,"s")==0) {
learn_parm->type=OPTIMIZATION;
learn_parm->sharedslack=1;
}
else {
sprintf(msg,"\nUnknown type '%s': Valid types are 'c' (classification), 'r' regession, and 'p' preference ranking.\n",type);
mexErrMsgTxt(msg);
}
if((learn_parm->skip_final_opt_check)
&& (kernel_parm->kernel_type == LINEAR)) {
printf("\nIt does not make sense to skip the final optimality check for linear kernels.\n\n");
learn_parm->skip_final_opt_check=0;
}
if((learn_parm->skip_final_opt_check)
&& (learn_parm->remove_inconsistent)) {
mexErrMsgTxt("It is necessary to do the final optimality check when removing inconsistent \nexamples.\n");
}
if((learn_parm->svm_maxqpsize<2)) {
sprintf(msg,"\nMaximum size of QP-subproblems not in valid range: %ld [2..]\n",learn_parm->svm_maxqpsize);
mexErrMsgTxt(msg);
}
if((learn_parm->svm_maxqpsize<learn_parm->svm_newvarsinqp)) {
sprintf(msg1,"Maximum size of QP-subproblems [%ld] must be larger than the number of\n",learn_parm->svm_maxqpsize);
sprintf(msg2,"new variables [%ld] entering the working set in each iteration.\n",learn_parm->svm_newvarsinqp);
sprintf(msg,"%s\n%s\n", msg1,msg2);
mexErrMsgTxt(msg);
}
if(learn_parm->svm_iter_to_shrink<1) {
sprintf(msg,"\nMaximum number of iterations for shrinking not in valid range: %ld [1,..]\n",learn_parm->svm_iter_to_shrink);
mexErrMsgTxt(msg);
}
if(learn_parm->svm_c<0) {
mexErrMsgTxt("\nThe C parameter must be greater than zero!\n\n");
}
if(learn_parm->transduction_posratio>1) {
mexErrMsgTxt("\nThe fraction of unlabeled examples to classify as positives must be less than 1.0 !!!\n\n");
}
if(learn_parm->svm_costratio<=0) {
mexErrMsgTxt("\nThe COSTRATIO parameter must be greater than zero!\n\n");
}
if(learn_parm->epsilon_crit<=0) {
mexErrMsgTxt("\nThe epsilon parameter must be greater than zero!\n\n");
}
if(learn_parm->rho<0) {
printf("\nThe parameter rho for xi/alpha-estimates and leave-one-out pruning must\n");
printf("be greater than zero (typically 1.0 or 2.0, see T. Joachims, Estimating the\n");
printf("Generalization Performance of an SVM Efficiently, ICML, 2000.)!\n\n");
mexErrMsgTxt("ending.\n");
}
if((learn_parm->xa_depth<0) || (learn_parm->xa_depth>100)) {
printf("\nThe parameter depth for ext. xi/alpha-estimates must be in [0..100] (zero\n");
printf("for switching to the conventional xa/estimates described in T. Joachims,\n");
printf("Estimating the Generalization Performance of an SVM Efficiently, ICML, 2000.)\n");
mexErrMsgTxt("ending\n");
}
}
void mexFunction( int nlhs, mxArray *plhs[],int nrhs, const mxArray*prhs[] )
{
/* Check for proper number of arguments */
if (!(nrhs == 2))
{
mexErrMsgTxt("You have to give me two inputs");
}
if (!mxIsStruct(prhs[1]))
{
mexErrMsgTxt("That second input has to be an image structure, you know.");
}
int error = 0;
int BitsPerPixel = 8;
HCAM hCam = *(HCAM *)mxGetPr(prhs[0]);
//Freeze the video feed for frame grab to prevent split frames
error = is_FreezeVideo( hCam, IS_WAIT );
if (error !=IS_SUCCESS)
{
mexErrMsgTxt("Error freezing video");
}
int image_field = mxGetFieldNumber(prhs[1],"image");
int pointer_field = mxGetFieldNumber(prhs[1],"pointer");
int ID_field = mxGetFieldNumber(prhs[1],"id");
mxArray *p_output_image = mxGetFieldByNumber(prhs[1],0,image_field);
char *p_output = (char *)mxGetPr(p_output_image);
mxArray *ppointer_field = mxGetFieldByNumber(prhs[1],0,pointer_field);
char *p_image = (char *)*(int *)mxGetPr(ppointer_field);
mxArray *pID_field = mxGetFieldByNumber(prhs[1],0,ID_field);
int *ID = (int *)mxGetPr(pID_field);
error = is_CopyImageMem (hCam, p_image, *ID, p_output);
if (error !=IS_SUCCESS)
{
mexErrMsgTxt("Error copying image data to output");
}
//If a variable is supplied on the LHS, use it to output image frame data
if (nlhs == 1)
{
IS_RECT rectAOI;
INT nX, nY;
error = is_AOI(hCam, IS_AOI_IMAGE_GET_AOI, (void*)&rectAOI, sizeof(rectAOI));
if (error == IS_SUCCESS)
{
nX = rectAOI.s32Width;
nY = rectAOI.s32Height;
}
mxArray *p_output_image_new = mxCreateNumericMatrix(nX, nY, mxUINT8_CLASS, mxREAL);
p_output = (char *)mxGetPr(p_output_image_new);
error = is_CopyImageMem (hCam, p_image, *ID, p_output);
if (error !=IS_SUCCESS)
{
mexErrMsgTxt("Error copying image data to output");
}
//Set mex function output
plhs[0] = p_output_image_new;
}
return;
}
/* call as model = mexsvmlearn(data,labels,options) */
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
{
char **argv;
int argc;
DOC **docs; /* training examples */
long totwords,totdoc,i;
double *target;
double *alpha_in=NULL;
KERNEL_CACHE *kernel_cache;
LEARN_PARM learn_parm;
KERNEL_PARM kernel_parm;
MODEL model;
/* check for valid calling format */
if ((nrhs != 3) || (nlhs != 1))
mexErrMsgTxt(ERR001);
if (mxGetM(prhs[0]) != mxGetM(prhs[1]))
mexErrMsgTxt(ERR002);
if (mxGetN(prhs[1]) != 1)
mexErrMsgTxt(ERR003);
/* reset static variables -- as a .DLL, static things are sticky */
global_init( );
/* convert the parameters (given in prhs[2]) into an argv/argc combination */
argv = make_argv((mxArray *)prhs[2],&argc); /* send the options */
/* this was originally supposed to be argc, argv, re-written for MATLAB ...
its cheesy - but it workss :: convert the options array into an argc,
argv pair and let svm_lite handle it from there. */
read_input_parameters(argc,argv,docfile,modelfile,restartfile,&verbosity,
&learn_parm,&kernel_parm);
extract_user_opts((mxArray *)prhs[2], &kernel_parm);
totdoc = mxGetM(prhs[0]);
totwords = mxGetN(prhs[0]);
/* prhs[0] = samples (mxn) array
prhs[1] = labels (mx1) array */
mexToDOC((mxArray *)prhs[0], (mxArray *)prhs[1], &docs, &target, NULL, NULL);
/* TODO modify to accept this array
if(restartfile[0]) alpha_in=read_alphas(restartfile,totdoc); */
if(kernel_parm.kernel_type == LINEAR) { /* don't need the cache */
kernel_cache=NULL;
}
else {
/* Always get a new kernel cache. It is not possible to use the
same cache for two different training runs */
kernel_cache=kernel_cache_init(totdoc,learn_parm.kernel_cache_size);
}
if(learn_parm.type == CLASSIFICATION) {
svm_learn_classification(docs,target,totdoc,totwords,&learn_parm,
&kernel_parm,kernel_cache,&model,alpha_in);
}
else if(learn_parm.type == REGRESSION) {
svm_learn_regression(docs,target,totdoc,totwords,&learn_parm,
&kernel_parm,&kernel_cache,&model);
}
else if(learn_parm.type == RANKING) {
svm_learn_ranking(docs,target,totdoc,totwords,&learn_parm,
&kernel_parm,&kernel_cache,&model);
}
else if(learn_parm.type == OPTIMIZATION) {
svm_learn_optimization(docs,target,totdoc,totwords,&learn_parm,
&kernel_parm,kernel_cache,&model,alpha_in);
}
else {
mexErrMsgTxt(ERR004);
}
if(kernel_cache) {
/* Free the memory used for the cache. */
kernel_cache_cleanup(kernel_cache);
}
/* **********************************
* After the training/learning portion has finished,
* copy the model back to the output arrays for MATLAB
* ********************************** */
store_model(&model, plhs);
free_kernel();
global_destroy( );
}
void mexFunction(
int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[]
)
{
int i, j;
double *b=NULL, *A=NULL,
*l=NULL, *u=NULL, *x=NULL, *lambda=NULL ;
int *iA=NULL, *kA=NULL, nnz=0, neq=0, m=0, n=0, display=0;
long *lpenv=NULL, *p_lp=NULL;
char *Sense=NULL ;
CPXENVptr env = NULL;
CPXLPptr lp = NULL;
int status, lpstat;
double objval;
#ifndef MX_COMPAT_32
long *iA_=NULL, *kA_=NULL ;
#endif
if (nrhs > 6 || nrhs < 1) {
mexErrMsgTxt("Usage: [how] "
"= lp_addrows(env,lp,A,b,neq,disp)");
return;
}
switch (nrhs) {
case 6:
if (mxGetM(prhs[5]) != 0 || mxGetN(prhs[5]) != 0) {
if (!mxIsNumeric(prhs[5]) || mxIsComplex(prhs[5])
|| mxIsSparse(prhs[5])
|| !(mxGetM(prhs[5])==1 && mxGetN(prhs[5])==1)) {
mexErrMsgTxt("6th argument (display) must be "
"an integer scalar.");
return;
}
display = *mxGetPr(prhs[5]);
}
case 5:
if (mxGetM(prhs[4]) != 0 || mxGetN(prhs[4]) != 0) {
if (!mxIsNumeric(prhs[4]) || mxIsComplex(prhs[4])
|| mxIsSparse(prhs[4])
|| !(mxGetM(prhs[4])==1 && mxGetN(prhs[4])==1)) {
mexErrMsgTxt("5th argument (neq) must be "
"an integer scalar.");
return;
}
neq = *mxGetPr(prhs[4]);
}
case 4:
if (mxGetM(prhs[3]) != 0 || mxGetN(prhs[3]) != 0) {
if (!mxIsNumeric(prhs[3]) || mxIsComplex(prhs[3])
|| mxIsSparse(prhs[3])
|| !mxIsDouble(prhs[3])
|| mxGetN(prhs[3])!=1 ) {
mexErrMsgTxt("4rd argument (b) must be "
"a column vector.");
return;
}
if (m != 0 && m != mxGetM(prhs[3])) {
mexErrMsgTxt("Dimension error (arg 4 and later).");
return;
}
b = mxGetPr(prhs[3]);
m = mxGetM(prhs[3]);
}
case 3:
if (mxGetM(prhs[2]) != 0 || mxGetN(prhs[2]) != 0) {
if (!mxIsNumeric(prhs[2]) || mxIsComplex(prhs[2])
|| !mxIsSparse(prhs[2]) ) {
mexErrMsgTxt("3n argument (A) must be "
"a sparse matrix.");
return;
}
if (m != 0 && m != mxGetN(prhs[2])) {
mexErrMsgTxt("Dimension error (arg 3 and later).");
return;
}
if (n != 0 && n != mxGetM(prhs[2])) {
mexErrMsgTxt("Dimension error (arg 3 and later).");
return;
}
m = mxGetN(prhs[2]);
n = mxGetM(prhs[2]);
A = mxGetPr(prhs[2]);
#ifdef MX_COMPAT_32
iA = mxGetIr(prhs[2]);
kA = mxGetJc(prhs[2]);
#else
iA_ = mxGetIr(prhs[2]);
kA_ = mxGetJc(prhs[2]);
iA = myMalloc(mxGetNzmax(prhs[2])*sizeof(int)) ;
for (i=0; i<mxGetNzmax(prhs[2]); i++)
iA[i]=iA_[i] ;
kA = myMalloc((n+1)*sizeof(int)) ;
for (i=0; i<n+1; i++)
kA[i]=kA_[i] ;
#endif
/*{
int k=0 ;
mxArray* a = mxCreateDoubleMatrix(1, 1, mxREAL);
for (; k<28; k++)
printf("%i,", iA[k]) ;
printf("\n") ;
for (k=0; k<28; k++)
printf("%i,", kA[k]) ;
printf("\n") ;
for (k=0; k<28; k++)
printf("%f,", A[k]) ;
printf("\n") ;
}*/
/*nnz=mxGetNzmax(prhs[2]); */
nnz=kA[m] ;
if (display>3)
fprintf(STD_OUT, "nnz=%i\n", nnz) ;
Sense=myMalloc((m+1)*sizeof(char)) ;
for (i=0; i<m; i++)
if (i<neq) Sense[i]='E' ;
else Sense[i]='L' ;
Sense[m]=0 ;
if (display>3)
fprintf(STD_OUT, "Sense=%s\n", Sense) ;
}
case 2:
if (mxGetM(prhs[1]) != 0 || mxGetN(prhs[1]) != 0) {
if (!mxIsNumeric(prhs[1]) || mxIsComplex(prhs[1])
|| mxIsSparse(prhs[1])
|| !mxIsDouble(prhs[1])
|| mxGetN(prhs[1])!=1 ) {
mexErrMsgTxt("2nd argument (p_lp) must be "
"a column vector.");
return;
}
if (1 != mxGetM(prhs[1])) {
mexErrMsgTxt("Dimension error (arg 2).");
return;
}
p_lp = (long*) mxGetPr(prhs[1]);
}
case 1:
if (mxGetM(prhs[0]) != 0 || mxGetN(prhs[0]) != 0) {
if (!mxIsNumeric(prhs[0]) || mxIsComplex(prhs[0])
|| mxIsSparse(prhs[0])
|| !mxIsDouble(prhs[0])
|| mxGetN(prhs[0])!=1 ) {
mexErrMsgTxt("1st argument (lpenv) must be "
"a column vector.");
return;
}
if (1 != mxGetM(prhs[0])) {
mexErrMsgTxt("Dimension error (arg 1).");
return;
}
lpenv = (long*) mxGetPr(prhs[0]);
}
}
if (nlhs > 1 || nlhs < 1) {
mexErrMsgTxt("Usage: [how] "
"= lp_gen(lpenv,p_lp,A,b,neq,disp)");
return;
}
if (display>3) fprintf(STD_OUT, "(m=%i, n=%i, neq=%i, nnz=%i) \n", m, n, neq, nnz) ;
/* Initialize the CPLEX environment */
env = (CPXENVptr) lpenv[0] ;
lp=(CPXLPptr)p_lp[0] ;
if (display>2)
fprintf(STD_OUT, "calling CPXaddrows \n") ;
status = CPXaddrows (env, lp, 0, m, nnz, b, Sense, kA, iA, A, NULL, NULL);
if ( status ) {
fprintf (STD_OUT,"CPXaddrows failed.\n");
goto TERMINATE;
}
TERMINATE:
if (status) {
char errmsg[1024];
CPXgeterrorstring (env, status, errmsg);
fprintf (STD_OUT, "%s", errmsg);
if (nlhs >= 1)
plhs[0] = mxCreateString(errmsg) ;
} else if (nlhs >= 1)
plhs[0] = mxCreateString("OK") ;
;
/* if (Sense) myFree(Sense) ;*/
#ifndef MX_COMPAT_32
if (iA) myFree(iA) ;
if (kA) myFree(kA) ;
#endif
return ;
}
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {
if(nrhs < 5 || nrhs > 5) {
mexErrMsgTxt("expected either 5 input arguments.\n");
return;
}
if(nlhs != 3) {
mexErrMsgTxt("expected 3 output arguments.\n");
return;
}
// read input arguments
int arg = 0;
// amount of training examples == number of slacks
const mxArray *params = prhs[arg];
const int num_exm = (int) *mxGetPr(mxGetField(params,0, "num_examples"));
// printf("Number of examples (new): %i\n",num_exm);
++arg;
// this is the current solution
const int M3 = mxGetM(prhs[arg]);
const int D = mxGetN(prhs[arg]);
/*
assert(M3 == 1);
*/
double *w = mxGetPr(prhs[arg]);
++arg;
// get the delta_y_ybar [1 x t]-array
const int M1 = mxGetM(prhs[arg]);
const int N1 = mxGetN(prhs[arg]);
assert(M1 == 1);
double *delta_y_ybar = mxGetPr(prhs[arg]);
++arg;
const int DIM = mxGetM(prhs[arg]);
const int N = mxGetN(prhs[arg]);
double *delta_psis = mxGetPr(prhs[arg]);
++arg;
// get the delta_psis_idxs [1 x n]-array
const int M2 = mxGetM(prhs[arg]);
const int N2 = mxGetN(prhs[arg]);
assert(M2 == 1);
double *delta_psis_idxs = mxGetPr(prhs[arg]);
++arg;
// these are the output values (already initialized)
plhs[0] = mxCreateDoubleMatrix(1, num_exm, mxREAL);
double *losses = mxGetPr(plhs[0]);
plhs[1] = mxCreateDoubleMatrix(1, num_exm, mxREAL);
double *idxs = mxGetPr(plhs[1]);
// copy the parameter structure without making changes
// to the elements
plhs[2] = mxDuplicateArray(params);
// for all dpsis
for (int n=0; n<N; n++) {
double loss = delta_y_ybar[n];
const int ind = delta_psis_idxs[n];
// for all dimensions in dpsis
for (int d=0; d<DIM; d++) {
loss -= w[d]*delta_psis[DIM*n+d];
}
// hinge
if (loss<0.0) {
loss = 0.0;
}
//printf("t=%i n=%i loss=%f idxs=%i\n",num_exm,n,loss,ind);
// store loss
if (loss>=losses[ind-1]) {
losses[ind-1] = loss;
idxs[ind-1] = n+1;
}
}
}