/* Main gateway
*/
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[]) {
int ndims, len, i;
int *dims = NULL;
double a, b;
double *o = NULL;
if (nlhs > 1)
mexErrMsgTxt("Too many output arguments.");
if (nrhs < 2)
mexErrMsgTxt("Requires at least two input arguments.");
ndims = (nrhs == 2) ? 1 : nrhs-2;
dims = (int*)mxMalloc(ndims*sizeof(int));
len = 1;
for (i=0;i<ndims;i++) {
dims[i] = (nrhs == 2) ? 1 : (int)mxGetScalar(prhs[i+2]);
len *= dims[i];
}
a = mxGetScalar(prhs[0]);
b = mxGetScalar(prhs[1]);
plhs[0] = mxCreateNumericArray(ndims, dims, mxDOUBLE_CLASS, mxREAL);
o = mxGetPr(plhs[0]);
for(i=0;i<len;i++)
*o++ = b * GammaRand(a);
mxFree(dims);
}
void mexFunction(int nlhs, mxArray *plhs[],
int nrhs, const mxArray *prhs[])
{
mwSize ndims, len, i;
mwSize *dims;
double *indata, *outdata;
if((nlhs > 1) || (nrhs != 1))
mexErrMsgTxt("Usage: x = randgamma(a)");
/* prhs[0] is first argument.
* mxGetPr returns double* (data, col-major)
*/
ndims = mxGetNumberOfDimensions(prhs[0]);
dims = (mwSize*)mxGetDimensions(prhs[0]);
indata = mxGetPr(prhs[0]);
len = mxGetNumberOfElements(prhs[0]);
if(mxIsSparse(prhs[0]))
mexErrMsgTxt("Cannot handle sparse matrices. Sorry.");
/* plhs[0] is first output */
plhs[0] = mxCreateNumericArrayE(ndims, dims, mxDOUBLE_CLASS, mxREAL);
outdata = mxGetPr(plhs[0]);
for(i=0;i<len;i++) {
*outdata++ = GammaRand(*indata++);
}
}
