int main(int argc,char *argv[])
{
MSKenv_t env = NULL;
MSKtask_t task = NULL;
MSKintt r = MSK_RES_OK;
/* Create mosek environment. */
r = MSK_makeenv(&env,NULL);
if ( r==MSK_RES_OK )
r = MSK_maketask(env,0,0,&task);
if ( r==MSK_RES_OK )
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
if (r == MSK_RES_OK)
r = MSK_readdata(task,argv[1]);
MSK_putintparam(task,MSK_IPAR_OPTIMIZER,MSK_OPTIMIZER_CONCURRENT);
MSK_putintparam(task,MSK_IPAR_CONCURRENT_NUM_OPTIMIZERS,2);
if (r == MSK_RES_OK)
r = MSK_optimize(task);
MSK_solutionsummary(task,MSK_STREAM_LOG);
MSK_deletetask(&task);
MSK_deleteenv(&env);
printf("Return code: %d (0 means no error occured.)\n",r);
return ( r );
} /* main */
Problem * create_problem() {
MSKrescodee r;
const MSKint32t numvar = 2;
const MSKint32t numcon = 1;
MSKboundkeye bkx[] = {MSK_BK_FR,
MSK_BK_FR};
double blx[] = {-MSK_INFINITY,
-MSK_INFINITY};
double bux[] = {+MSK_INFINITY,
+MSK_INFINITY};
double c[] = {0.0,
1.0};
/* will be used for cones */
MSKint32t i, j;
MSKint32t csub[2];
MSKenv_t env = NULL;
MSKtask_t task = NULL;
r = MSK_makeenv(&env,NULL);
r = MSK_maketask(env,numcon,numvar,&task);
r = MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
r = MSK_appendcons(task,numcon);
r = MSK_appendvars(task,numvar);
for(j=0; j<numvar && r == MSK_RES_OK; ++j) {
r = MSK_putcj(task,j,c[j]);
r = MSK_putvarbound(task,
j, /* Index of variable.*/
bkx[j], /* Bound key.*/
blx[j], /* Numerical value of lower bound.*/
bux[j]); /* Numerical value of upper bound.*/
}
csub[0] = 0;
csub[1] = 1;
r = MSK_appendcone(task,
MSK_CT_QUAD,
0.0, /* For future use only, can be set to 0.0 */
2,
csub);
r = MSK_putobjsense(task, MSK_OBJECTIVE_SENSE_MINIMIZE);
Problem * p = new Problem;
p->env_ = env;
p->task_= task;
return p;
}
int mosekNNSolverWrapper(const Matrix &Q, const Matrix &Eq, const Matrix &b,
const Matrix &InEq, const Matrix &ib,
const Matrix &lowerBounds, const Matrix &upperBounds,
Matrix &sol, double *objVal, MosekObjectiveType objType)
{
DBGP("Mosek QP Wrapper started");
MSKrescodee r;
MSKtask_t task = NULL;
// Get the only instance of the mosek environment.
MSKenv_t env = getMosekEnv();
// Create the optimization task.
r = MSK_maketask(env, 0, 0, &task);
if (r != MSK_RES_OK) {
DBGA("Failed to create optimization task");
return -1;
}
MSK_linkfunctotaskstream(task, MSK_STREAM_LOG, NULL, printstr);
//---------------------------------------
//start inputing the problem
//prespecify number of variables to make inputting faster
r = MSK_putmaxnumvar(task, sol.rows());
//number of constraints (both equality and inequality)
if (r == MSK_RES_OK) {
r = MSK_putmaxnumcon(task, Eq.rows() + InEq.rows());
}
//make sure default value is 0 for sparse matrices
assert(Q.getDefault() == 0.0);
assert(Eq.getDefault() == 0.0);
assert(InEq.getDefault() == 0.0);
//number of non-zero entries in A
if (r == MSK_RES_OK) {
r = MSK_putmaxnumanz(task, Eq.numElements() + InEq.numElements());
}
if (r != MSK_RES_OK) {
DBGA("Failed to input variables");
MSK_deletetask(&task);
return -1;
}
//solver is sensitive to numerical problems. Scale the problem down
//we will use this value to scale down the right hand side of equality
//and inequality constraints and lower and upper bounds
//after solving, we must scale back up the solution and the value of the
//objective
double scale = b.absMax();
if (scale < 1.0e2) {
scale = 1.0;
} else {
DBGP("Mosek solver: scaling problem down by " << scale);
}
//---------------------------------------
//insert the actual variables and constraints
//append the variables
MSK_append(task, MSK_ACC_VAR, sol.rows());
//append the constraints.
MSK_append(task, MSK_ACC_CON, Eq.rows() + InEq.rows());
int i, j;
double value;
if (objType == MOSEK_OBJ_QP) {
//quadratic optimization objective
//the quadratic term
Q.sequentialReset();
while (Q.nextSequentialElement(i, j, value)) {
MSK_putqobjij(task, i, j, 2.0 * value);
}
} else if (objType == MOSEK_OBJ_LP) {
//linear objective
for (j = 0; j < Q.cols(); j++) {
if (fabs(Q.elem(0, j)) > 1.0e-5) {
MSK_putcj(task, j, Q.elem(0, j));
}
}
} else {
assert(0);
}
//variable bounds
assert(sol.rows() == lowerBounds.rows());
assert(sol.rows() == upperBounds.rows());
for (i = 0; i < sol.rows(); i++) {
if (lowerBounds.elem(i, 0) >= upperBounds.elem(i, 0)) {
if (lowerBounds.elem(i, 0) > upperBounds.elem(i, 0)) {
assert(0);
}
if (lowerBounds.elem(i, 0) == -std::numeric_limits<double>::max()) {
assert(0);
}
if (upperBounds.elem(i, 0) == std::numeric_limits<double>::max()) {
assert(0);
}
//fixed variable
DBGP(i << ": fixed " << lowerBounds.elem(i, 0) / scale);
MSK_putbound(task, MSK_ACC_VAR, i, MSK_BK_FX,
lowerBounds.elem(i, 0) / scale, upperBounds.elem(i, 0) / scale);
} else if (lowerBounds.elem(i, 0) != -std::numeric_limits<double>::max()) {
//finite lower bound
if (upperBounds.elem(i, 0) != std::numeric_limits<double>::max()) {
//two finite bounds
DBGP(i << ": finite bounds " << lowerBounds.elem(i, 0) / scale
<< " " << upperBounds.elem(i, 0) / scale);
MSK_putbound(task, MSK_ACC_VAR, i, MSK_BK_RA,
lowerBounds.elem(i, 0) / scale, upperBounds.elem(i, 0) / scale);
} else {
//lower bound
DBGP(i << ": lower bound " << lowerBounds.elem(i, 0) / scale);
MSK_putbound(task, MSK_ACC_VAR, i, MSK_BK_LO,
lowerBounds.elem(i, 0) / scale, +MSK_INFINITY);
}
} else {
//infinite lower bound
if (upperBounds.elem(i, 0) != std::numeric_limits<double>::max()) {
//upper bound
DBGP(i << ": upper bound " << upperBounds.elem(i, 0) / scale);
MSK_putbound(task, MSK_ACC_VAR, i, MSK_BK_UP,
-MSK_INFINITY, upperBounds.elem(i, 0) / scale);
} else {
//unbounded
DBGP(i << ": unbounded");
MSK_putbound(task, MSK_ACC_VAR, i, MSK_BK_FR,
-MSK_INFINITY, +MSK_INFINITY);
}
}
}
//constraints and constraint bounds
//equality constraints
Eq.sequentialReset();
while (Eq.nextSequentialElement(i, j, value)) {
MSK_putaij(task, i, j, value);
}
for (i = 0; i < Eq.rows(); i++) {
MSK_putbound(task, MSK_ACC_CON, i, MSK_BK_FX, b.elem(i, 0) / scale, b.elem(i, 0) / scale);
}
//inequality constraints, <=
InEq.sequentialReset();
while (InEq.nextSequentialElement(i, j, value)) {
int eqi = i + Eq.rows();
MSK_putaij(task, eqi, j, value);
}
for (i = 0; i < InEq.rows(); i++) {
int eqi = i + Eq.rows();
MSK_putbound(task, MSK_ACC_CON, eqi, MSK_BK_UP, -MSK_INFINITY, ib.elem(i, 0) / scale);
}
//specify objective: minimize
MSK_putobjsense(task, MSK_OBJECTIVE_SENSE_MINIMIZE);
//give it 800 iterations, twice the default.
MSK_putintparam(task, MSK_IPAR_INTPNT_MAX_ITERATIONS, 800);
//----------------------------------
//solve the thing
DBGP("Optimization started");
r = MSK_optimize(task);
DBGP("Optimization returns");
//write problem to file
/*
static int fileNum = 0;
if (r != MSK_RES_OK) {
char filename[50];
sprintf(filename,"mosek_error_%d_%d.opf",fileNum++, r);
MSK_writedata(task, filename);
FILE *fp = fopen(filename,"a");
fprintf(fp,"\n\nEquality matrix:\n");
Eq.print(fp);
fclose(fp);
}
*/
if (r != MSK_RES_OK) {
DBGA("Mosek optimization call failed, error code " << r);
MSK_deletetask(&task);
return -1;
}
DBGP("Optimization complete");
//debug code, find out number of iterations used
//int iter;
//MSK_getintinf(task, MSK_IINF_INTPNT_ITER, &iter);
//DBGA("Iterations used: " << iter);
//find out what kind of solution we have
MSKprostae pst;
MSKsolstae sst;
MSK_getsolutionstatus(task, MSK_SOL_ITR, &pst, &sst);
int result;
if (sst == MSK_SOL_STA_OPTIMAL || sst == MSK_SOL_STA_NEAR_OPTIMAL) {
//success, we have an optimal problem
if (sst == MSK_SOL_STA_OPTIMAL) {DBGP("QP solution is optimal");}
else {DBGA("QP solution is *nearly* optimal");}
result = 0;
} else if (sst == MSK_SOL_STA_PRIM_INFEAS_CER) {
//unfeasible problem
DBGP("Mosek optimization: primal infeasible");
result = 1;
} else if (sst == MSK_SOL_STA_DUAL_INFEAS_CER) {
//unfeasible problem
DBGA("Mosek optimization: dual infeasible (primal unbounded?)");
result = 1;
} else if (sst == MSK_SOL_STA_PRIM_AND_DUAL_FEAS) {
//i think this means feasible problem, but unbounded solution
//this shouldn't happen as our Q is positive semidefinite
DBGA("QP solution is prim and dual feasible, but not optimal");
DBGA("Is Q positive semidefinite?");
result = -1;
} else {
//unknown return status
DBGA("QP fails with solution status " << sst << " and problem status " << pst);
result = -1;
}
//MSK_SOL_STA_DUAL_FEAS;
//retrieve the solutions
if (!result) {
//get the value of the objective function
MSKrealt obj, foo;
MSK_getsolutioninf(task, MSK_SOL_ITR, &pst, &sst, &obj,
&foo, &foo, &foo, &foo, &foo, &foo, &foo, &foo);
if (objType == MOSEK_OBJ_QP) {
*objVal = obj * scale * scale;
} else if (objType == MOSEK_OBJ_LP) {
*objVal = obj * scale;
} else {
assert(0);
}
double *xx = new double[sol.rows()];
MSK_getsolutionslice(task, MSK_SOL_ITR, MSK_SOL_ITEM_XX,
0, sol.rows(), xx);
for (i = 0; i < sol.rows(); i++) {
sol.elem(i, 0) = scale * xx[i];
DBGP("x" << i << ": " << xx[i]);
}
delete [] xx;
}
MSK_deletetask(&task);
return result;
}
int main(int argc,char **argv)
{
MSKenv_t env;
MSKtask_t task;
MSKintt NUMCON = 2;
MSKintt NUMVAR = 2;
double c[] = {1.0, 1.0};
MSKintt ptrb[] = {0, 2};
MSKintt ptre[] = {2, 3};
MSKidxt asub[] = {0, 1,
0, 1};
double aval[] = {1.0, 1.0,
2.0, 1.0};
MSKboundkeye bkc[] = {MSK_BK_UP,
MSK_BK_UP};
double blc[] = {-MSK_INFINITY,
-MSK_INFINITY};
double buc[] = {2.0,
6.0};
MSKboundkeye bkx[] = {MSK_BK_LO,
MSK_BK_LO};
double blx[] = {0.0,
0.0};
double bux[] = {+MSK_INFINITY,
+MSK_INFINITY};
MSKrescodee r = MSK_RES_OK;
MSKidxt i,nz;
double w1[] = {2.0,6.0};
double w2[] = {1.0,0.0};
MSKidxt sub[] = {0,1};
MSKidxt *basis;
if (r == MSK_RES_OK)
r = MSK_makeenv(&env,NULL,NULL,NULL,NULL);
if ( r==MSK_RES_OK )
MSK_linkfunctoenvstream(env,MSK_STREAM_LOG,NULL,printstr);
if ( r==MSK_RES_OK )
r = MSK_initenv(env);
if ( r==MSK_RES_OK )
r = MSK_makeemptytask(env,&task);
if ( r==MSK_RES_OK )
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
if ( r == MSK_RES_OK)
r = MSK_inputdata(task, NUMCON,NUMVAR, NUMCON,NUMVAR, c, 0.0,
ptrb, ptre, asub, aval, bkc, blc, buc, bkx, blx, bux);
if (r == MSK_RES_OK)
r = MSK_putobjsense(task,MSK_OBJECTIVE_SENSE_MAXIMIZE);
if (r == MSK_RES_OK)
r = MSK_optimize(task);
if (r == MSK_RES_OK)
basis = MSK_calloctask(task,NUMCON,sizeof(MSKidxt));
if (r == MSK_RES_OK)
r = MSK_initbasissolve(task,basis);
/* List basis variables corresponding to columns of B */
for (i=0;i<NUMCON && r == MSK_RES_OK;++i)
{
printf("basis[%d] = %d\n",i,basis[i]);
if (basis[sub[i]] < NUMCON)
printf ("Basis variable no %d is xc%d.\n",i, basis[i]);
else
printf ("Basis variable no %d is x%d.\n",i,basis[i] - NUMCON);
}
nz = 2;
/* solve Bx = w1 */
/* sub contains index of non-zeros in w1.
On return w1 contains the solution x and sub
the index of the non-zeros in x.
*/
if (r == MSK_RES_OK)
r = MSK_solvewithbasis(task,0,&nz,sub,w1);
if (r == MSK_RES_OK)
{
printf("\nSolution to Bx = w1:\n\n");
/* Print solution and b. */
for (i=0;i<nz;++i)
{
if (basis[sub[i]] < NUMCON)
printf ("xc%d = %e\n",basis[sub[i]] , w1[sub[i]] );
else
printf ("x%d = %e\n",basis[sub[i]] - NUMCON , w1[sub[i]] );
}
}
/* Solve B^Tx = c */
nz = 2;
sub[0] = 0;
sub[1] = 1;
if (r == MSK_RES_OK)
r = MSK_solvewithbasis(task,1,&nz,sub,w2);
if (r == MSK_RES_OK)
{
printf("\nSolution to B^Tx = w2:\n\n");
/* Print solution and y. */
for (i=0;i<nz;++i)
{
if (basis[sub[i]] < NUMCON)
printf ("xc%d = %e\n",basis[sub[i]] , w2[sub[i]] );
else
printf ("x%d = %e\n",basis[sub[i]] - NUMCON , w2[sub[i]] );
}
}
printf("Return code: %d (0 means no error occurred.)\n",r);
return ( r );
}/* main */
int main (int argc, char * argv[])
{
MSKtask_t task = NULL;
MSKenv_t env = NULL;
MSKrescodee r = MSK_RES_OK;
if (argc <= 1)
{
printf ("Missing argument. The syntax is:\n");
printf (" simple inputfile [ solutionfile ]\n");
}
else
{
/* Create the mosek environment.
The `NULL' arguments here, are used to specify customized
memory allocators and a memory debug file. These can
safely be ignored for now. */
r = MSK_makeenv(&env, NULL, NULL, NULL, NULL);
/* Initialize the environment */
if ( r==MSK_RES_OK )
MSK_initenv (env);
/* Create a task object linked to the environment env.
Initially we create it with 0 variables and 0 columns,
since we do not know the size of the problem. */
if ( r==MSK_RES_OK )
r = MSK_maketask (env, 0,0, &task);
if (r == MSK_RES_OK)
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* We assume that a problem file was given as the first command
line argument (received in `argv'). */
if ( r==MSK_RES_OK )
r = MSK_readdata (task, argv[1]);
/* Solve the problem */
if ( r==MSK_RES_OK )
{
MSKrescodee trmcode;
MSK_optimizetrm(task,&trmcode);
}
/* Print a summary of the solution. */
MSK_solutionsummary(task, MSK_STREAM_MSG);
if (r == MSK_RES_OK)
{
MSKprostae prosta;
MSKsolstae solsta;
MSKrealt primalobj,maxpbi,maxpcni,maxpeqi,maxinti,
dualobj, maxdbi, maxdcni, maxdeqi;
MSKintt isdef;
MSKsoltypee whichsol = MSK_SOL_BAS;
int accepted = 1;
MSK_getsolutioninf (
task,
whichsol,
&prosta,
&solsta,
&primalobj,
&maxpbi,
&maxpcni,
&maxpeqi,
&maxinti,
&dualobj,
&maxdbi,
&maxdcni,
&maxdeqi);
switch(solsta)
{
case MSK_SOL_STA_OPTIMAL:
case MSK_SOL_STA_NEAR_OPTIMAL:
{
double max_primal_infeas = 0.0; /* maximal primal infeasibility */
double max_dual_infeas = 0.0; /* maximal dual infeasibility */
double obj_gap = fabs(dualobj-primalobj);
max_primal_infeas = double_max(max_primal_infeas,maxpbi);
max_primal_infeas = double_max(max_primal_infeas,maxpcni);
max_primal_infeas = double_max(max_primal_infeas,maxpeqi);
max_dual_infeas = double_max(max_dual_infeas,maxdbi);
max_dual_infeas = double_max(max_dual_infeas,maxdcni);
max_dual_infeas = double_max(max_dual_infeas,maxdeqi);
/* Assume the application needs the solution to be within
1e-6 ofoptimality in an absolute sense. Another approach
would be looking at the relative objective gap */
printf("Objective gap: %e\n",obj_gap);
if (obj_gap > 1e-6)
{
printf("Warning: The objective gap is too large.");
accepted = 0;
}
printf("Max primal infeasibility: %e\n", max_primal_infeas);
printf("Max dual infeasibility: %e\n" , max_dual_infeas);
/* We will accept a primal infeasibility of 1e-8 and
dual infeasibility of 1e-6 */
if (max_primal_infeas > 1e-8)
{
printf("Warning: Primal infeasibility is too large");
accepted = 0;
}
if (max_dual_infeas > 1e-6)
{
printf("Warning: Dual infeasibility is too large");
accepted = 0;
}
}
if (accepted && r == MSK_RES_OK)
{
MSKintt numvar,j;
MSKrealt *xx = NULL;
MSK_getnumvar(task,&numvar);
xx = (double *) malloc(numvar*sizeof(MSKrealt));
MSK_getsolutionslice(task,
MSK_SOL_BAS, /* Request the basic solution. */
MSK_SOL_ITEM_XX,/* Which part of solution. */
0, /* Index of first variable. */
numvar, /* Index of last variable+1. */
xx);
printf("Optimal primal solution\n");
for(j=0; j<numvar; ++j)
printf("x[%d]: %e\n",j,xx[j]);
free(xx);
}
else
{
/* Print detailed information about the solution */
if (r == MSK_RES_OK)
r = MSK_analyzesolution(task,MSK_STREAM_LOG,whichsol);
}
break;
case MSK_SOL_STA_DUAL_INFEAS_CER:
case MSK_SOL_STA_PRIM_INFEAS_CER:
case MSK_SOL_STA_NEAR_DUAL_INFEAS_CER:
case MSK_SOL_STA_NEAR_PRIM_INFEAS_CER:
printf("Primal or dual infeasibility certificate found.\n");
break;
case MSK_SOL_STA_UNKNOWN:
printf("The status of the solution could not be determined.\n");
break;
default:
printf("Other solution status");
break;
}
}
else
{
printf("Error while optimizing.\n");
}
MSK_deletetask(&task);
MSK_deleteenv(&env);
}
return r;
}
int main(int argc,char *argv[])
{
const MSKint32t numvar = 3,
numcon = 3;
MSKint32t i,j;
double c[] = {1.5, 2.5, 3.0};
MSKint32t ptrb[] = {0, 3, 6},
ptre[] = {3, 6, 9},
asub[] = { 0, 1, 2,
0, 1, 2,
0, 1, 2};
double aval[] = { 2.0, 3.0, 2.0,
4.0, 2.0, 3.0,
3.0, 3.0, 2.0};
MSKboundkeye bkc[] = {MSK_BK_UP, MSK_BK_UP, MSK_BK_UP };
double blc[] = {-MSK_INFINITY, -MSK_INFINITY, -MSK_INFINITY};
double buc[] = {100000, 50000, 60000};
MSKboundkeye bkx[] = {MSK_BK_LO, MSK_BK_LO, MSK_BK_LO};
double blx[] = {0.0, 0.0, 0.0,};
double bux[] = {+MSK_INFINITY, +MSK_INFINITY,+MSK_INFINITY};
double *xx=NULL;
MSKenv_t env;
MSKtask_t task;
MSKint32t varidx,conidx;
MSKrescodee r;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL);
if ( r==MSK_RES_OK )
{
/* Create the optimization task. */
r = MSK_maketask(env,numcon,numvar,&task);
/* Directs the log task stream to the
'printstr' function. */
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* Append the constraints. */
if (r == MSK_RES_OK)
r = MSK_appendcons(task,numcon);
/* Append the variables. */
if (r == MSK_RES_OK)
r = MSK_appendvars(task,numvar);
/* Put C. */
if (r == MSK_RES_OK)
r = MSK_putcfix(task, 0.0);
if (r == MSK_RES_OK)
for(j=0; j<numvar; ++j)
r = MSK_putcj(task,j,c[j]);
/* Put constraint bounds. */
if (r == MSK_RES_OK)
for(i=0; i<numcon; ++i)
r = MSK_putconbound(task,i,bkc[i],blc[i],buc[i]);
/* Put variable bounds. */
if (r == MSK_RES_OK)
for(j=0; j<numvar; ++j)
r = MSK_putvarbound(task,j,bkx[j],blx[j],bux[j]);
/* Put A. */
if (r == MSK_RES_OK)
if ( numcon>0 )
for(j=0; j<numvar; ++j)
r = MSK_putacol(task,
j,
ptre[j]-ptrb[j],
asub+ptrb[j],
aval+ptrb[j]);
if (r == MSK_RES_OK)
r = MSK_putobjsense(task,
MSK_OBJECTIVE_SENSE_MAXIMIZE);
if (r == MSK_RES_OK)
r = MSK_optimizetrm(task,NULL);
if (r == MSK_RES_OK)
{
xx = calloc(numvar,sizeof(double));
if ( !xx )
r = MSK_RES_ERR_SPACE;
}
if (r == MSK_RES_OK)
r = MSK_getxx(task,
MSK_SOL_BAS, /* Basic solution. */
xx);
/* Make a change to the A matrix */
if (r == MSK_RES_OK)
r = MSK_putaij(task, 0, 0, 3.0);
if (r == MSK_RES_OK)
r = MSK_optimizetrm(task,NULL);
/* Get index of new variable, this should be 3 */
if (r == MSK_RES_OK)
r = MSK_getnumvar(task,&varidx);
/* Append a new variable x_3 to the problem */
if (r == MSK_RES_OK)
r = MSK_appendvars(task,1);
/* Set bounds on new variable */
if (r == MSK_RES_OK)
r = MSK_putvarbound(task,
varidx,
MSK_BK_LO,
0,
+MSK_INFINITY);
/* Change objective */
if (r == MSK_RES_OK)
r = MSK_putcj(task,varidx,1.0);
/* Put new values in the A matrix */
if (r == MSK_RES_OK)
{
MSKint32t acolsub[] = {0, 2};
double acolval[] = {4.0, 1.0};
r = MSK_putacol(task,
varidx, /* column index */
2, /* num nz in column*/
acolsub,
acolval);
}
/* Change optimizer to free simplex and reoptimize */
if (r == MSK_RES_OK)
r = MSK_putintparam(task,MSK_IPAR_OPTIMIZER,MSK_OPTIMIZER_FREE_SIMPLEX);
if (r == MSK_RES_OK)
r = MSK_optimizetrm(task,NULL);
/* Get index of new constraint*/
if (r == MSK_RES_OK)
r = MSK_getnumcon(task,&conidx);
/* Append a new constraint */
if (r == MSK_RES_OK)
r = MSK_appendcons(task,1);
/* Set bounds on new constraint */
if (r == MSK_RES_OK)
r = MSK_putconbound(task,
conidx,
MSK_BK_UP,
-MSK_INFINITY,
30000);
/* Put new values in the A matrix */
if (r == MSK_RES_OK)
{
MSKidxt arowsub[] = {0, 1, 2, 3 };
double arowval[] = {1.0, 2.0, 1.0, 1.0};
r = MSK_putarow(task,
conidx, /* row index */
4, /* num nz in row*/
arowsub,
arowval);
}
if (r == MSK_RES_OK)
r = MSK_optimizetrm(task,NULL);
if ( xx )
free(xx);
MSK_deletetask(&task);
}
MSK_deleteenv(&env);
printf("Return code: %d (0 means no error occured.)\n",r);
return ( r );
} /* main */
int main()
{
char buffer[MSK_MAX_STR_LEN];
double oprfo[NUMOPRO],oprgo[NUMOPRO],oprho[NUMOPRO],
oprfc[NUMOPRC],oprgc[NUMOPRC],oprhc[NUMOPRC],
c[NUMVAR],aval[NUMANZ],
blc[NUMCON],buc[NUMCON],blx[NUMVAR],bux[NUMVAR];
int numopro,numoprc,
numcon=NUMCON,numvar=NUMVAR,
opro[NUMOPRO],oprjo[NUMOPRO],
oprc[NUMOPRC],opric[NUMOPRC],oprjc[NUMOPRC],
aptrb[NUMVAR],aptre[NUMVAR],asub[NUMANZ];
MSKboundkeye bkc[NUMCON],bkx[NUMVAR];
MSKenv_t env;
MSKrescodee r;
MSKtask_t task;
schand_t sch;
/* Specify nonlinear terms in the objective. */
numopro = NUMOPRO;
opro[0] = MSK_OPR_LOG; /* Defined in scopt.h */
oprjo[0] = 2;
oprfo[0] = -1.0;
oprgo[0] = 1.0; /* This value is never used. */
oprho[0] = 0.0;
/* Specify nonlinear terms in the constraints. */
numoprc = NUMOPRC;
oprc[0] = MSK_OPR_POW;
opric[0] = 0;
oprjc[0] = 0;
oprfc[0] = 1.0;
oprgc[0] = 2.0;
oprhc[0] = 0.0;
oprc[1] = MSK_OPR_POW;
opric[1] = 0;
oprjc[1] = 1;
oprfc[1] = 1.0;
oprgc[1] = 2.0;
oprhc[1] = 0.0;
/* Specify c */
c[0] = 1.0; c[1] = 0.0; c[2] = 0.0;
/* Specify a. */
aptrb[0] = 0; aptrb[1] = 1; aptrb[2] = 2;
aptre[0] = 1; aptre[1] = 2; aptre[2] = 3;
asub[0] = 1; asub[1] = 1; asub[2] = 1;
aval[0] = 1.0; aval[1] = 2.0; aval[2] = -1.0;
/* Specify bounds for constraints. */
bkc[0] = MSK_BK_UP; bkc[1] = MSK_BK_FX;
blc[0] = -MSK_INFINITY; blc[1] = 0.0;
buc[0] = 1.0; buc[1] = 0.0;
/* Specify bounds for variables. */
bkx[0] = MSK_BK_FR; bkx[1] = MSK_BK_FR; bkx[2] = MSK_BK_LO;
blx[0] = -MSK_INFINITY; blx[1] = -MSK_INFINITY; blx[2] = 0.0;
bux[0] = MSK_INFINITY; bux[1] = MSK_INFINITY; bux[2] = MSK_INFINITY;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL);
if ( r==MSK_RES_OK )
{
/* Make the optimization task. */
r = MSK_makeemptytask(env,&task);
if ( r==MSK_RES_OK )
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
if ( r==MSK_RES_OK )
{
/* Setup the linear part of the problem. */
r = MSK_inputdata(task,
numcon,numvar,
numcon,numvar,
c,0.0,
aptrb,aptre,
asub,aval,
bkc,blc,buc,
bkx,blx,bux);
}
if ( r== MSK_RES_OK )
{
/* Set-up of nonlinear expressions. */
r = MSK_scbegin(task,
numopro,opro,oprjo,oprfo,oprgo,oprho,
numoprc,oprc,opric,oprjc,oprfc,oprgc,oprhc,
&sch);
if ( r==MSK_RES_OK )
{
printf("Start optimizing\n");
r = MSK_optimize(task);
printf("Done optimizing\n");
MSK_solutionsummary(task,MSK_STREAM_MSG);
}
/* The nonlinear expressions are no longer needed. */
MSK_scend(task,&sch);
}
MSK_deletetask(&task);
}
MSK_deleteenv(&env);
printf("Return code: %d\n",r);
if ( r!=MSK_RES_OK )
{
MSK_getcodedesc(r,buffer,NULL);
printf("Description: %s\n",buffer);
}
return r;
} /* main */
int do_thing()
{
const MSKint32t numvar = 4,
numcon = 3;
double c[] = {3.0, 1.0, 5.0, 1.0};
/* Below is the sparse representation of the A
matrix stored by column. */
MSKint32t aptrb[] = {0, 2, 5, 7},
aptre[] = {2, 5, 7, 9},
asub[] = { 0, 1,
0, 1, 2,
0, 1,
1, 2};
double aval[] = { 3.0, 2.0,
1.0, 1.0, 2.0,
2.0, 3.0,
1.0, 3.0};
/* Bounds on constraints. */
MSKboundkeye bkc[] = {MSK_BK_FX, MSK_BK_LO, MSK_BK_UP };
double blc[] = {30.0, 15.0, -MSK_INFINITY};
double buc[] = {30.0, +MSK_INFINITY, 25.0 };
/* Bounds on variables. */
MSKboundkeye bkx[] = {MSK_BK_LO, MSK_BK_RA, MSK_BK_LO, MSK_BK_LO };
double blx[] = {0.0, 0.0, 0.0, 0.0 };
double bux[] = {+MSK_INFINITY, 10.0, +MSK_INFINITY, +MSK_INFINITY };
MSKenv_t env = NULL;
MSKtask_t task = NULL;
MSKrescodee r;
MSKint32t i,j;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL);
if ( r==MSK_RES_OK )
{
/* Create the optimization task. */
r = MSK_maketask(env,numcon,numvar,&task);
/* Directs the log task stream to the 'printstr' function. */
if ( r==MSK_RES_OK )
r = MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* Append 'numcon' empty constraints.
The constraints will initially have no bounds. */
if ( r == MSK_RES_OK )
r = MSK_appendcons(task,numcon);
/* Append 'numvar' variables.
The variables will initially be fixed at zero (x=0). */
if ( r == MSK_RES_OK )
r = MSK_appendvars(task,numvar);
for(j=0; j<numvar && r == MSK_RES_OK; ++j)
{
/* Set the linear term c_j in the objective.*/
if(r == MSK_RES_OK)
r = MSK_putcj(task,j,c[j]);
/* Set the bounds on variable j.
blx[j] <= x_j <= bux[j] */
if(r == MSK_RES_OK)
r = MSK_putvarbound(task,
j, /* Index of variable.*/
bkx[j], /* Bound key.*/
blx[j], /* Numerical value of lower bound.*/
bux[j]); /* Numerical value of upper bound.*/
/* Input column j of A */
if(r == MSK_RES_OK)
r = MSK_putacol(task,
j, /* Variable (column) index.*/
aptre[j]-aptrb[j], /* Number of non-zeros in column j.*/
asub+aptrb[j], /* Pointer to row indexes of column j.*/
aval+aptrb[j]); /* Pointer to Values of column j.*/
}
/* Set the bounds on constraints.
for i=1, ...,numcon : blc[i] <= constraint i <= buc[i] */
for(i=0; i<numcon && r==MSK_RES_OK; ++i)
r = MSK_putconbound(task,
i, /* Index of constraint.*/
bkc[i], /* Bound key.*/
blc[i], /* Numerical value of lower bound.*/
buc[i]); /* Numerical value of upper bound.*/
/* Maximize objective function. */
if (r == MSK_RES_OK)
r = MSK_putobjsense(task, MSK_OBJECTIVE_SENSE_MAXIMIZE);
if ( r==MSK_RES_OK )
{
MSKrescodee trmcode;
/* Run optimizer */
r = MSK_optimizetrm(task,&trmcode);
/* Print a summary containing information
about the solution for debugging purposes. */
MSK_solutionsummary (task,MSK_STREAM_LOG);
if ( r==MSK_RES_OK )
{
MSKsolstae solsta;
if ( r==MSK_RES_OK )
r = MSK_getsolsta (task,
MSK_SOL_BAS,
&solsta);
switch(solsta)
{
case MSK_SOL_STA_OPTIMAL:
case MSK_SOL_STA_NEAR_OPTIMAL:
{
double *xx = (double*) calloc(numvar,sizeof(double));
if ( xx )
{
MSK_getxx(task,
MSK_SOL_BAS, /* Request the basic solution. */
xx);
printf("Optimal primal solution\n");
for(j=0; j<numvar; ++j)
printf("x[%d]: %e\n",j,xx[j]);
free(xx);
}
else
r = MSK_RES_ERR_SPACE;
break;
}
case MSK_SOL_STA_DUAL_INFEAS_CER:
case MSK_SOL_STA_PRIM_INFEAS_CER:
case MSK_SOL_STA_NEAR_DUAL_INFEAS_CER:
case MSK_SOL_STA_NEAR_PRIM_INFEAS_CER:
printf("Primal or dual infeasibility certificate found.\n");
break;
case MSK_SOL_STA_UNKNOWN:
{
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
/* If the solutions status is unknown, print the termination code
indicating why the optimizer terminated prematurely. */
MSK_getcodedesc(trmcode,
symname,
desc);
printf("The solution status is unknown.\n");
printf("The optimizer terminitated with code: %s\n",symname);
break;
}
default:
printf("Other solution status.\n");
break;
}
}
}
if (r != MSK_RES_OK)
{
/* In case of an error print error code and description. */
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
printf("An error occurred while optimizing.\n");
MSK_getcodedesc (r,
symname,
desc);
printf("Error %s - '%s'\n",symname,desc);
}
/* Delete the task and the associated data. */
MSK_deletetask(&task);
}
/* Delete the environment and the associated data. */
MSK_deleteenv(&env);
return r;
}
int main(int argc,char *argv[])
{
MSKrescodee r;
MSKidxt i,j;
double c[] = {3.0, 1.0, 5.0, 1.0};
/* Below is the sparse representation of the A
matrix stored by column. */
MSKlidxt aptrb[] = {0, 2, 5, 7};
MSKlidxt aptre[] = {2, 5, 7, 9};
MSKidxt asub[] = { 0, 1,
0, 1, 2,
0, 1,
1, 2};
double aval[] = { 3.0, 2.0,
1.0, 1.0, 2.0,
2.0, 3.0,
1.0, 3.0};
/* Bounds on constraints. */
MSKboundkeye bkc[] = {MSK_BK_FX, MSK_BK_LO, MSK_BK_UP };
double blc[] = {30.0, 15.0, -MSK_INFINITY};
double buc[] = {30.0, +MSK_INFINITY, 25.0 };
/* Bounds on variables. */
MSKboundkeye bkx[] = {MSK_BK_LO, MSK_BK_RA, MSK_BK_LO, MSK_BK_LO };
double blx[] = {0.0, 0.0, 0.0, 0.0 };
double bux[] = {+MSK_INFINITY, 10.0, +MSK_INFINITY, +MSK_INFINITY };
double xx[NUMVAR];
MSKenv_t env = NULL;
MSKtask_t task = NULL;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL,NULL,NULL,NULL);
/* Directs the env log stream to the 'printstr' function. */
if ( r==MSK_RES_OK )
MSK_linkfunctoenvstream(env,MSK_STREAM_LOG,NULL,printstr);
/* Initialize the environment. */
if ( r==MSK_RES_OK )
r = MSK_initenv(env);
if ( r==MSK_RES_OK )
{
/* Create the optimization task. */
r = MSK_maketask(env,NUMCON,NUMVAR,&task);
/* Directs the log task stream to the 'printstr' function. */
if ( r==MSK_RES_OK )
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* Give MOSEK an estimate of the size of the input data.
This is done to increase the speed of inputting data.
However, it is optional. */
if (r == MSK_RES_OK)
r = MSK_putmaxnumvar(task,NUMVAR);
if (r == MSK_RES_OK)
r = MSK_putmaxnumcon(task,NUMCON);
if (r == MSK_RES_OK)
r = MSK_putmaxnumanz(task,NUMANZ);
/* Append 'NUMCON' empty constraints.
The constraints will initially have no bounds. */
if ( r == MSK_RES_OK )
r = MSK_append(task,MSK_ACC_CON,NUMCON);
/* Append 'NUMVAR' variables.
The variables will initially be fixed at zero (x=0). */
if ( r == MSK_RES_OK )
r = MSK_append(task,MSK_ACC_VAR,NUMVAR);
/* Optionally add a constant term to the objective. */
if ( r ==MSK_RES_OK )
r = MSK_putcfix(task,0.0);
for(j=0; j<NUMVAR && r == MSK_RES_OK; ++j)
{
/* Set the linear term c_j in the objective.*/
if(r == MSK_RES_OK)
r = MSK_putcj(task,j,c[j]);
/* Set the bounds on variable j.
blx[j] <= x_j <= bux[j] */
if(r == MSK_RES_OK)
r = MSK_putbound(task,
MSK_ACC_VAR, /* Put bounds on variables.*/
j, /* Index of variable.*/
bkx[j], /* Bound key.*/
blx[j], /* Numerical value of lower bound.*/
bux[j]); /* Numerical value of upper bound.*/
/* Input column j of A */
if(r == MSK_RES_OK)
r = MSK_putavec(task,
MSK_ACC_VAR, /* Input columns of A.*/
j, /* Variable (column) index.*/
aptre[j]-aptrb[j], /* Number of non-zeros in column j.*/
asub+aptrb[j], /* Pointer to row indexes of column j.*/
aval+aptrb[j]); /* Pointer to Values of column j.*/
}
/* Set the bounds on constraints.
for i=1, ...,NUMCON : blc[i] <= constraint i <= buc[i] */
for(i=0; i<NUMCON && r==MSK_RES_OK; ++i)
r = MSK_putbound(task,
MSK_ACC_CON, /* Put bounds on constraints.*/
i, /* Index of constraint.*/
bkc[i], /* Bound key.*/
blc[i], /* Numerical value of lower bound.*/
buc[i]); /* Numerical value of upper bound.*/
/* Maximize objective function. */
if (r == MSK_RES_OK)
r = MSK_putobjsense(task,
MSK_OBJECTIVE_SENSE_MAXIMIZE);
if ( r==MSK_RES_OK )
{
MSKrescodee trmcode;
/* Run optimizer */
r = MSK_optimizetrm(task,&trmcode);
/* Print a summary containing information
about the solution for debugging purposes. */
MSK_solutionsummary (task,MSK_STREAM_LOG);
if ( r==MSK_RES_OK )
{
MSKsolstae solsta;
int j;
MSK_getsolutionstatus (task,
MSK_SOL_BAS,
NULL,
&solsta);
switch(solsta)
{
case MSK_SOL_STA_OPTIMAL:
case MSK_SOL_STA_NEAR_OPTIMAL:
MSK_getsolutionslice(task,
MSK_SOL_BAS, /* Request the basic solution. */
MSK_SOL_ITEM_XX,/* Which part of solution. */
0, /* Index of first variable. */
NUMVAR, /* Index of last variable+1. */
xx);
printf("Optimal primal solution\n");
for(j=0; j<NUMVAR; ++j)
printf("x[%d]: %e\n",j,xx[j]);
break;
case MSK_SOL_STA_DUAL_INFEAS_CER:
case MSK_SOL_STA_PRIM_INFEAS_CER:
case MSK_SOL_STA_NEAR_DUAL_INFEAS_CER:
case MSK_SOL_STA_NEAR_PRIM_INFEAS_CER:
printf("Primal or dual infeasibility certificate found.\n");
break;
case MSK_SOL_STA_UNKNOWN:
printf("The status of the solution could not be determined.\n");
break;
default:
printf("Other solution status.");
break;
}
}
else
{
printf("Error while optimizing.\n");
}
}
if (r != MSK_RES_OK)
{
/* In case of an error print error code and description. */
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
printf("An error occurred while optimizing.\n");
MSK_getcodedesc (r,
symname,
desc);
printf("Error %s - '%s'\n",symname,desc);
}
MSK_deletetask(&task);
MSK_deleteenv(&env);
}
return r;
}
int main(int argc,char **argv)
{
MSKintt r=MSK_RES_OK,i;
MSKenv_t env = NULL;
MSKtask_t task = NULL;
MSKtask_t task_list[NUMTASKS];
/* Ensure that we can delete tasks even if they are not allocated */
task_list[0] = NULL;
/* Create mosek environment. */
r = MSK_makeenv(&env,NULL);
/* Create a task for each concurrent optimization.
The 'task' is the master task that will hold the problem data.
*/
if ( r==MSK_RES_OK )
r = MSK_maketask(env,0,0,&task);
if (r == MSK_RES_OK)
r = MSK_maketask(env,0,0,&task_list[0]);
/* Assign call-back functions to each task */
if (r == MSK_RES_OK)
MSK_linkfunctotaskstream(task,
MSK_STREAM_LOG,
NULL,
printstr1);
if (r == MSK_RES_OK)
MSK_linkfunctotaskstream(task_list[0],
MSK_STREAM_LOG,
NULL,
printstr2);
if (r == MSK_RES_OK)
r = MSK_linkfiletotaskstream(task,
MSK_STREAM_LOG,
"simplex.log",
0);
if (r == MSK_RES_OK)
r = MSK_linkfiletotaskstream(task_list[0],
MSK_STREAM_LOG,
"intpnt.log",
0);
if (r == MSK_RES_OK)
r = MSK_readdata(task,argv[1]);
/* Assign different parameter values to each task.
In this case different optimizers. */
if (r == MSK_RES_OK)
r = MSK_putintparam(task,
MSK_IPAR_OPTIMIZER,
MSK_OPTIMIZER_PRIMAL_SIMPLEX);
if (r == MSK_RES_OK)
r = MSK_putintparam(task_list[0],
MSK_IPAR_OPTIMIZER,
MSK_OPTIMIZER_INTPNT);
/* Optimize task and task_list[0] in parallel.
The problem data i.e. C, A, etc.
is copied from task to task_list[0].
*/
if (r == MSK_RES_OK)
r = MSK_optimizeconcurrent (task,
task_list,
NUMTASKS);
printf ("Return Code = %d\n",r);
MSK_solutionsummary(task,
MSK_STREAM_LOG);
MSK_deletetask(&task);
MSK_deletetask(&task_list[0]);
MSK_deleteenv(&env);
return r;
}
int mosek_qp_optimize(double** G, double* delta, double* alpha, long k, double C, double *dual_obj) {
long i,j,t;
double *c;
MSKlidxt *aptrb;
MSKlidxt *aptre;
MSKidxt *asub;
double *aval;
MSKboundkeye bkc[1];
double blc[1];
double buc[1];
MSKboundkeye *bkx;
double *blx;
double *bux;
MSKidxt *qsubi,*qsubj;
double *qval;
MSKenv_t env;
MSKtask_t task;
MSKrescodee r;
/*double dual_obj;*/
c = (double*) malloc(sizeof(double)*k);
assert(c!=NULL);
aptrb = (MSKlidxt*) malloc(sizeof(MSKlidxt)*k);
assert(aptrb!=NULL);
aptre = (MSKlidxt*) malloc(sizeof(MSKlidxt)*k);
assert(aptre!=NULL);
asub = (MSKidxt*) malloc(sizeof(MSKidxt)*k);
assert(asub!=NULL);
aval = (double*) malloc(sizeof(double)*k);
assert(aval!=NULL);
bkx = (MSKboundkeye*) malloc(sizeof(MSKboundkeye)*k);
assert(bkx!=NULL);
blx = (double*) malloc(sizeof(double)*k);
assert(blx!=NULL);
bux = (double*) malloc(sizeof(double)*k);
assert(bux!=NULL);
qsubi = (MSKidxt*) malloc(sizeof(MSKidxt)*(k*(k+1)/2));
assert(qsubi!=NULL);
qsubj = (MSKidxt*) malloc(sizeof(MSKidxt)*(k*(k+1)/2));
assert(qsubj!=NULL);
qval = (double*) malloc(sizeof(double)*(k*(k+1)/2));
assert(qval!=NULL);
/* DEBUG */
/*
for (i=0;i<k;i++) {
printf("delta: %.4f\n", delta[i]);
}
printf("G:\n");
for (i=0;i<k;i++) {
for (j=0;j<k;j++) {
printf("%.4f ", G[i][j]);
}
printf("\n");
}
fflush(stdout);
*/
/* DEBUG */
for (i=0;i<k;i++) {
c[i] = -delta[i];
aptrb[i] = i;
aptre[i] = i+1;
asub[i] = 0;
aval[i] = 1.0;
bkx[i] = MSK_BK_LO;
blx[i] = 0.0;
bux[i] = MSK_INFINITY;
}
bkc[0] = MSK_BK_UP;
blc[0] = -MSK_INFINITY;
buc[0] = C;
/*
bkc[0] = MSK_BK_FX;
blc[0] = C;
buc[0] = C;
*/
/* create mosek environment */
r = MSK_makeenv(&env, NULL, NULL, NULL, NULL);
/* check return code */
if (r==MSK_RES_OK) {
/* directs output to printstr function */
MSK_linkfunctoenvstream(env, MSK_STREAM_LOG, NULL, printstr);
}
/* initialize the environment */
r = MSK_initenv(env);
if (r==MSK_RES_OK) {
/* create the optimization task */
r = MSK_maketask(env,1,k,&task);
if (r==MSK_RES_OK) {
r = MSK_linkfunctotaskstream(task, MSK_STREAM_LOG,NULL,printstr);
if (r==MSK_RES_OK) {
r = MSK_inputdata(task,
1,k,
1,k,
c,0.0,
aptrb,aptre,
asub,aval,
bkc,blc,buc,
bkx,blx,bux);
}
if (r==MSK_RES_OK) {
/* coefficients for the Gram matrix */
t = 0;
for (i=0;i<k;i++) {
for (j=0;j<=i;j++) {
qsubi[t] = i;
qsubj[t] = j;
qval[t] = G[i][j];
t++;
}
}
r = MSK_putqobj(task, k*(k+1)/2, qsubi,qsubj,qval);
}
/* DEBUG */
/*
printf("t: %ld\n", t);
for (i=0;i<t;i++) {
printf("qsubi: %d, qsubj: %d, qval: %.4f\n", qsubi[i], qsubj[i], qval[i]);
}
fflush(stdout);
*/
/* DEBUG */
/* set relative tolerance gap (DEFAULT = 1E-8)*/
//MSK_putdouparam(task, MSK_DPAR_INTPNT_TOL_REL_GAP, 1E-10);
MSK_putdouparam(task, MSK_DPAR_INTPNT_TOL_REL_GAP, 1E-14);
if (r==MSK_RES_OK) {
r = MSK_optimize(task);
}
if (r==MSK_RES_OK) {
MSK_getsolutionslice(task,
MSK_SOL_ITR,
MSK_SOL_ITEM_XX,
0,
k,
alpha);
/* print out alphas */
/*
for (i=0;i<k;i++) {
printf("alpha[%ld]: %.8f\n", i, alpha[i]); fflush(stdout);
}
*/
/* output the objective value */
MSK_getprimalobj(task, MSK_SOL_ITR, dual_obj);
//printf("ITER DUAL_OBJ %.8g\n", -(*dual_obj)); fflush(stdout);
}
MSK_deletetask(&task);
}
MSK_deleteenv(&env);
}
/* free the memory */
free(c);
free(aptrb);
free(aptre);
free(asub);
free(aval);
free(bkx);
free(blx);
free(bux);
free(qsubi);
free(qsubj);
free(qval);
if(r == MSK_RES_OK)
return(0);
else
return(r);
}
template <typename _Scalar> typename MosekOpt<_Scalar>::ReturnType
MosekOpt<_Scalar>::
update( bool verbose )
{
if ( _task != NULL )
{
std::cerr << "[" << __func__ << "]: " << "update can only be called once! returning." << std::endl;
return MSK_RES_ERR_UNKNOWN;
}
/* Create the optimization task. */
if ( MSK_RES_OK == _r )
{
_r = MSK_maketask( _env, this->getConstraintCount(), this->getVarCount(), &_task );
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "could not create task with " << this->getVarCount() << " vars, and " << this->getConstraintCount() << " constraints" << std::endl;
}
// redirect output
if ( MSK_RES_OK == _r )
{
_r = MSK_linkfunctotaskstream( _task, MSK_STREAM_LOG, NULL, mosekPrintStr );
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "could not create rewire output to mosekPrintStr(), continuing though..." << std::endl;
}
// Append _numCon empty constraints. The constraints will initially have no bounds.
if ( MSK_RES_OK == _r )
{
if ( verbose ) std::cout << "my: MSK_appendcons(_task,"<< this->getConstraintCount() <<");" << std::endl;
_r = MSK_appendcons( _task, this->getConstraintCount() );
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "could not append " << this->getConstraintCount() << " constraints" << std::endl;
}
// Append _numVar variables. The variables will initially be fixed at zero (x=0).
if ( MSK_RES_OK == _r )
{
if ( verbose ) std::cout << "my: MSK_appendvars(_task," << this->getVarCount() <<");" << std::endl;
_r = MSK_appendvars( _task, this->getVarCount() );
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "could not append " << this->getVarCount() << " variables" << std::endl;
}
// Optionally add a constant term to the objective.
if ( MSK_RES_OK == _r )
{
if ( verbose ) std::cout << "my: MSK_putcfix(_task," << this->getObjectiveBias() << ");" << std::endl;
_r = MSK_putcfix( _task, this->getObjectiveBias() );
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "could not add constant " << this->getObjectiveBias() << " to objective function" << std::endl;
}
// set Variables
for ( size_t j = 0; (j < this->getVarCount()) && (MSK_RES_OK == _r); ++j )
{
// set Variable j's Bounds // blx[j] <= x_j <= bux[j]
if ( MSK_RES_OK == _r )
{
_r = MSK_putvarbound( _task,
j, /* Index of variable.*/
MosekOpt<Scalar>::getBoundTypeCustom( this->getVarBoundType(j) ), /* Bound key.*/
this->getVarLowerBound(j), /* Numerical value of lower bound.*/
this->getVarUpperBound(j) ); /* Numerical value of upper bound.*/
if ( verbose ) std::cout << "my: MSK_putvarbound(_task," << j << "," << this->getVarBoundType(j) << "," << this->getVarLowerBound(j) << "," << this->getVarUpperBound(j) << ");" << std::endl;
}
// set Variable j's Type
if ( MSK_RES_OK == _r )
{
_r = MSK_putvartype( _task, j, MosekOpt<Scalar>::getVarTypeCustom(this->getVarType(j)) );
}
// set Variable j's linear coefficient in the objective function
if ( MSK_RES_OK == _r )
{
if ( verbose ) std::cout << "my: putcj(_task," << j << "," << this->getLinObjectives()[j] << ")" << std::endl;
_r = MSK_putcj( _task, j, this->getLinObjectives()[j] );
}
}
// set Quadratic Objectives
if ( MSK_RES_OK == _r )
{
const int numNonZeros = this->getQuadraticObjectives().size();
MSKint32t *qsubi = new MSKint32t[numNonZeros],
*qsubj = new MSKint32t[numNonZeros];
double *qval = new double[numNonZeros];
for ( size_t qi = 0; qi != this->getQuadraticObjectives().size(); ++qi )
{
qsubi[qi] = this->getQuadraticObjectives()[qi].row();
qsubj[qi] = this->getQuadraticObjectives()[qi].col();
qval [qi] = this->getQuadraticObjectives()[qi].value();
}
if ( verbose ) std::cout<<"my: putqobj( _task, " << numNonZeros << ",\n";
for ( size_t vi = 0; vi != numNonZeros; ++vi )
{
if ( verbose ) std::cout << qsubi[vi] << "," << qsubj[vi] << ", " << qval[vi] << std::endl;
}
if ( verbose ) std::cout << ");" << std::endl;
_r = MSK_putqobj( _task, numNonZeros, qsubi, qsubj, qval );
if ( qsubi ) { delete[] qsubi; qsubi = NULL; }
if ( qsubj ) { delete[] qsubj; qsubj = NULL; }
if ( qval ) { delete[] qval ; qval = NULL; }
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "Setting Quadratic Objectives caused error code " << (int)_r << std::endl;
} // ...Quadratic objective
// set Linear Constraints
{
typename ParentType::SparseMatrix A( this->getLinConstraintsMatrix() );
// ( this->getConstraintCount(), this->getVarCount() );
// A.setFromTriplets( this->getLinConstraints().begin(), this->getLinConstraints().end() );
std::vector<double> aval; // Linear constraints coeff matrix (sparse)
std::vector<int> asub; // Linear constraints coeff matrix indices
std::vector<int> aptrb, aptre;
for ( int row = 0; (row < A.outerSize()) && (MSK_RES_OK == _r); ++row )
{
// set Constraint Bounds for row
if ( MSK_RES_OK == _r )
{
if ( verbose ) std::cout << "my: MSK_putconbound( _task, " << row << ", "
<< MosekOpt<Scalar>::getBoundTypeCustom( this->getConstraintBoundType(row) ) << ", "
<< this->getConstraintLowerBound( row ) << ", "
<< this->getConstraintUpperBound( row ) << ")"
<< std::endl; fflush( stdout );
_r = MSK_putconbound( _task,
row, /* Index of constraint.*/
MosekOpt<Scalar>::getBoundTypeCustom(this->getConstraintBoundType(row)), /* Bound key.*/
this->getConstraintLowerBound(row), /* Numerical value of lower bound.*/
this->getConstraintUpperBound(row) ); /* Numerical value of upper bound.*/
}
// set Linear Constraint row
if ( MSK_RES_OK == _r )
{
// new line starts at index == current size
aptrb.push_back( aval.size() );
// add coeffs from new line
for ( typename ParentType::SparseMatrix::InnerIterator it(A,row); it; ++it )
{
if ( row != it.row() ) std::cerr << "[" << __func__ << "]: " << "this shouldn't happen" << std::endl;
// coeff value
aval.push_back( it.value() ); // TODO: A should be a matrix, not a vector...
// coeff subscript
asub.push_back( it.col() );
}
// new line ends at index == new size
aptre.push_back( aval.size() );
if ( verbose ) {
std::cout << "my: MSK_putarow( _task, "
<< row << ", "
<< aptre[row] - aptrb[row] << ", "
<< *(asub.data() + aptrb[row]) << ", "
<< *(aval.data() + aptrb[row]) << ");"
<< std::endl; fflush( stdout );
}
_r = MSK_putarow( _task,
row, /* Row index.*/
aptre[row] - aptrb[row], /* Number of non-zeros in row i.*/
asub.data() + aptrb[row], /* Pointer to column indexes of row i.*/
aval.data() + aptrb[row]); /* Pointer to values of row i.*/
}
} // ... for A.rows
// report error
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "Setting Lin constraints caused error code " << (int)_r << std::endl;
} // ...set Linear Constraints
// set Quadratic constraints
if ( verbose ) std::cout << "[" << __func__ << "]: " << "adding q constraints" << std::endl;
for ( size_t constr_id = 0; (constr_id != this->getQuadraticConstraints().size()) && (MSK_RES_OK == _r); ++constr_id )
{
const int numNonZeros = this->getQuadraticConstraints(constr_id).size();
MSKint32t *qsubi = new MSKint32t[numNonZeros],
*qsubj = new MSKint32t[numNonZeros];
double *qval = new double[numNonZeros];
for ( size_t qi = 0; qi != this->getQuadraticConstraints(constr_id).size(); ++qi )
{
qsubi[qi] = this->getQuadraticConstraints(constr_id)[qi].row();
qsubj[qi] = this->getQuadraticConstraints(constr_id)[qi].col();
qval [qi] = this->getQuadraticConstraints(constr_id)[qi].value();
}
if ( verbose ) std::cout<<"my: MSK_putqonk( _task, " << constr_id << ", " << numNonZeros << ",\n";
for(size_t vi=0;vi!=numNonZeros;++vi)
{
if ( verbose ) std::cout << qsubi[vi] << "," << qsubj[vi] << ", " << qval[vi] << std::endl;
}
if ( verbose ) std::cout << "); " << std::endl;
_r = MSK_putqconk(_task,
constr_id,
numNonZeros,
qsubi,
qsubj,
qval);
if ( qsubi ) { delete[] qsubi; qsubi = NULL; }
if ( qsubj ) { delete[] qsubj; qsubj = NULL; }
if ( qval ) { delete[] qval ; qval = NULL; }
if ( MSK_RES_OK != _r )
std::cerr << "[" << __func__ << "]: " << "Setting Quad constraints caused error code " << (int)_r << std::endl;
} // ...set Quadratic Constraints
// save to file
{
if ( _r == MSK_RES_OK )
{
_r = MSK_putintparam( _task, MSK_IPAR_WRITE_DATA_FORMAT, MSK_DATA_FORMAT_LP );
if ( _r == MSK_RES_OK )
{
_r = MSK_writedata( _task, "mosek.lp" );
if ( _r != MSK_RES_OK )
{
std::cerr << "[" << __func__ << "]: " << "Writedata did not work" << (int)_r << std::endl;
}
}
}
}
if ( _r == MSK_RES_OK )
{
this->_x.setZero();
this->_updated = true;
}
// return error code
return _r;
} // ...MosekOpt::update()
/**********************
lap: the upper RHS of the symmetric graph laplacian matrix which will be transformed
to the hessian of the non-linear part of the optimisation function
n: number of nodes (length of coords array)
ordering: array containing sequences of nodes for each level,
ie, ordering[levels[i]] is first node of (i+1)th level
level_indexes: array of starting node for each level in ordering
ie, levels[i] is index to first node of (i+1)th level
also, levels[0] is number of nodes in first level
and, levels[i]-levels[i-1] is number of nodes in ith level
and, n - levels[num_divisions-1] is number of nodes in last level
num_divisions: number of divisions between levels, ie number of levels - 1
separation: the minimum separation between nodes on different levels
***********************/
MosekEnv *mosek_init_hier(float *lap, int n, int *ordering,
int *level_indexes, int num_divisions,
float separation)
{
int count = 0;
int i, j, num_levels = num_divisions + 1;
int num_constraints;
MosekEnv *mskEnv = GNEW(MosekEnv);
DigColaLevel *levels;
int nonzero_lapsize = (n * (n - 1)) / 2;
/* vars for nodes (except x0) + dummy nodes between levels
* x0 is fixed at 0, and therefore is not included in the opt problem
* add 2 more vars for top and bottom constraints
*/
mskEnv->num_variables = n + num_divisions + 1;
logfile = fopen("quad_solve_log", "w");
levels = assign_digcola_levels(ordering, n, level_indexes, num_divisions);
#ifdef DUMP_CONSTRAINTS
print_digcola_levels(logfile, levels, num_levels);
#endif
/* nonlinear coefficients matrix of objective function */
/* int lapsize=mskEnv->num_variables+(mskEnv->num_variables*(mskEnv->num_variables-1))/2; */
mskEnv->qval = N_GNEW(nonzero_lapsize, double);
mskEnv->qsubi = N_GNEW(nonzero_lapsize, int);
mskEnv->qsubj = N_GNEW(nonzero_lapsize, int);
/* solution vector */
mskEnv->xx = N_GNEW(mskEnv->num_variables, double);
/* constraint matrix */
separation /= 2.0; /* separation between each node and it's adjacent constraint */
num_constraints = get_num_digcola_constraints(levels,
num_levels) + num_divisions + 1;
/* constraints of the form x_i - x_j >= sep so 2 non-zero entries per constraint in LHS matrix
* except x_0 (fixed at 0) constraints which have 1 nz val each.
*/
#ifdef EQUAL_WIDTH_LEVELS
num_constraints += num_divisions;
#endif
/* pointer to beginning of nonzero sequence in a column */
for (i = 0; i < n - 1; i++) {
for (j = i; j < n - 1; j++) {
mskEnv->qval[count] = -2 * lap[count + n];
assert(mskEnv->qval[count] != 0);
mskEnv->qsubi[count] = j;
mskEnv->qsubj[count] = i;
count++;
}
}
#ifdef DUMP_CONSTRAINTS
fprintf(logfile, "Q=[");
int lapcntr = n;
for (i = 0; i < mskEnv->num_variables; i++) {
if (i != 0)
fprintf(logfile, ";");
for (j = 0; j < mskEnv->num_variables; j++) {
if (j < i || i >= n - 1 || j >= n - 1) {
fprintf(logfile, "0 ");
} else {
fprintf(logfile, "%f ", -2 * lap[lapcntr++]);
}
}
}
fprintf(logfile, "]\nQ=Q-diag(diag(Q))+Q'\n");
#endif
fprintf(logfile, "\n");
/* Make the mosek environment. */
mskEnv->r = MSK_makeenv(&mskEnv->env, NULL, NULL, NULL, NULL);
/* Check whether the return code is ok. */
if (mskEnv->r == MSK_RES_OK) {
/* Directs the log stream to the user
* specified procedure 'printstr'.
*/
MSK_linkfunctoenvstream(mskEnv->env, MSK_STREAM_LOG, NULL,
printstr);
}
/* Initialize the environment. */
mskEnv->r = MSK_initenv(mskEnv->env);
if (mskEnv->r == MSK_RES_OK) {
/* Make the optimization task. */
mskEnv->r =
MSK_maketask(mskEnv->env, num_constraints,
mskEnv->num_variables, &mskEnv->task);
if (mskEnv->r == MSK_RES_OK) {
int c_ind = 0;
int c_var = n - 1;
mskEnv->r =
MSK_linkfunctotaskstream(mskEnv->task, MSK_STREAM_LOG,
NULL, printstr);
/* Resize the task. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r = MSK_resizetask(mskEnv->task, num_constraints, mskEnv->num_variables, 0, /* no cones!! */
/* each constraint applies to 2 vars */
2 * num_constraints +
num_divisions, nonzero_lapsize);
/* Append the constraints. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r = MSK_append(mskEnv->task, 1, num_constraints);
/* Append the variables. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r =
MSK_append(mskEnv->task, 0, mskEnv->num_variables);
/* Put variable bounds. */
for (j = 0;
j < mskEnv->num_variables && mskEnv->r == MSK_RES_OK; ++j)
mskEnv->r =
MSK_putbound(mskEnv->task, 0, j, MSK_BK_RA,
-MSK_INFINITY, MSK_INFINITY);
for (j = 0; j < levels[0].num_nodes && mskEnv->r == MSK_RES_OK;
j++) {
int node = levels[0].nodes[j] - 1;
if (node >= 0) {
INIT_sub_val(c_var,node);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 2, subi, vali);
} else {
/* constraint for y0 (fixed at 0) */
mskEnv->r =
MSK_putaij(mskEnv->task, c_ind, c_var, 1.0);
}
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_LO,
separation, MSK_INFINITY);
c_ind++;
}
for (i = 0; i < num_divisions && mskEnv->r == MSK_RES_OK; i++) {
c_var = n + i;
for (j = 0;
j < levels[i].num_nodes && mskEnv->r == MSK_RES_OK;
j++) {
/* create separation constraint a>=b+separation */
int node = levels[i].nodes[j] - 1;
if (node >= 0) { /* no constraint for fixed node */
INIT_sub_val(node,c_var);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 2, subi,
vali);
} else {
/* constraint for y0 (fixed at 0) */
mskEnv->r =
MSK_putaij(mskEnv->task, c_ind, c_var, -1.0);
}
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_LO,
separation, MSK_INFINITY);
c_ind++;
}
for (j = 0;
j < levels[i + 1].num_nodes
&& mskEnv->r == MSK_RES_OK; j++) {
int node = levels[i + 1].nodes[j] - 1;
if (node >= 0) {
INIT_sub_val(c_var,node);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 2, subi,
vali);
} else {
/* constraint for y0 (fixed at 0) */
mskEnv->r =
MSK_putaij(mskEnv->task, c_ind, c_var, 1.0);
}
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_LO,
separation, MSK_INFINITY);
c_ind++;
}
}
c_var = n + i;
for (j = 0; j < levels[i].num_nodes && mskEnv->r == MSK_RES_OK;
j++) {
/* create separation constraint a>=b+separation */
int node = levels[i].nodes[j] - 1;
if (node >= 0) { /* no constraint for fixed node */
INIT_sub_val(node,c_var);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 2, subi, vali);
} else {
/* constraint for y0 (fixed at 0) */
mskEnv->r =
MSK_putaij(mskEnv->task, c_ind, c_var, -1.0);
}
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_LO,
separation, MSK_INFINITY);
c_ind++;
}
/* create constraints preserving the order of dummy vars */
for (i = 0; i < num_divisions + 1 && mskEnv->r == MSK_RES_OK;
i++) {
int c_var = n - 1 + i, c_var2 = c_var + 1;
INIT_sub_val(c_var,c_var2);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 2, subi, vali);
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_LO, 0,
MSK_INFINITY);
c_ind++;
}
#ifdef EQUAL_WIDTH_LEVELS
for (i = 1; i < num_divisions + 1 && mskEnv->r == MSK_RES_OK;
i++) {
int c_var = n - 1 + i, c_var_lo = c_var - 1, c_var_hi =
c_var + 1;
INIT_sub_val3(c_var_lo, c_var, c_var_h);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, c_ind, 3, subi, vali);
mskEnv->r =
MSK_putbound(mskEnv->task, 1, c_ind, MSK_BK_FX, 0, 0);
c_ind++;
}
#endif
assert(c_ind == num_constraints);
#ifdef DUMP_CONSTRAINTS
fprintf(logfile, "A=[");
for (i = 0; i < num_constraints; i++) {
if (i != 0)
fprintf(logfile, ";");
for (j = 0; j < mskEnv->num_variables; j++) {
double aij;
MSK_getaij(mskEnv->task, i, j, &aij);
fprintf(logfile, "%f ", aij);
}
}
fprintf(logfile, "]\n");
fprintf(logfile, "b=[");
for (i = 0; i < num_constraints; i++) {
fprintf(logfile, "%f ", separation);
}
fprintf(logfile, "]\n");
#endif
if (mskEnv->r == MSK_RES_OK) {
/*
* The lower triangular part of the Q
* matrix in the objective is specified.
*/
mskEnv->r =
MSK_putqobj(mskEnv->task, nonzero_lapsize,
mskEnv->qsubi, mskEnv->qsubj,
mskEnv->qval);
}
}
}
delete_digcola_levels(levels, num_levels);
return mskEnv;
}
/**********************
lap: the upper RHS of the symmetric graph laplacian matrix which will be transformed
to the hessian of the non-linear part of the optimisation function
has dimensions num_variables, dummy vars do not have entries in lap
cs: array of pointers to separation constraints
***********************/
MosekEnv *mosek_init_sep(float *lap, int num_variables, int num_dummy_vars,
Constraint ** cs, int num_constraints)
{
int i, j;
MosekEnv *mskEnv = GNEW(MosekEnv);
int count = 0;
int nonzero_lapsize = num_variables * (num_variables - 1) / 2;
/* fix var 0 */
mskEnv->num_variables = num_variables + num_dummy_vars - 1;
fprintf(stderr, "MOSEK!\n");
logfile = fopen("quad_solve_log", "w");
/* nonlinear coefficients matrix of objective function */
mskEnv->qval = N_GNEW(nonzero_lapsize, double);
mskEnv->qsubi = N_GNEW(nonzero_lapsize, int);
mskEnv->qsubj = N_GNEW(nonzero_lapsize, int);
/* solution vector */
mskEnv->xx = N_GNEW(mskEnv->num_variables, double);
/* pointer to beginning of nonzero sequence in a column */
for (i = 0; i < num_variables - 1; i++) {
for (j = i; j < num_variables - 1; j++) {
mskEnv->qval[count] = -2 * lap[count + num_variables];
/* assert(mskEnv->qval[count]!=0); */
mskEnv->qsubi[count] = j;
mskEnv->qsubj[count] = i;
count++;
}
}
#ifdef DUMP_CONSTRAINTS
fprintf(logfile, "Q=[");
count = 0;
for (i = 0; i < num_variables - 1; i++) {
if (i != 0)
fprintf(logfile, ";");
for (j = 0; j < num_variables - 1; j++) {
if (j < i) {
fprintf(logfile, "0 ");
} else {
fprintf(logfile, "%f ", -2 * lap[num_variables + count++]);
}
}
}
fprintf(logfile, "]\nQ=Q-diag(diag(Q))+Q'\n");
#endif
/* Make the mosek environment. */
mskEnv->r = MSK_makeenv(&mskEnv->env, NULL, NULL, NULL, NULL);
/* Check whether the return code is ok. */
if (mskEnv->r == MSK_RES_OK) {
/* Directs the log stream to the user
specified procedure 'printstr'. */
MSK_linkfunctoenvstream(mskEnv->env, MSK_STREAM_LOG, NULL,
printstr);
}
/* Initialize the environment. */
mskEnv->r = MSK_initenv(mskEnv->env);
if (mskEnv->r == MSK_RES_OK) {
/* Make the optimization task. */
mskEnv->r =
MSK_maketask(mskEnv->env, num_constraints,
mskEnv->num_variables, &mskEnv->task);
if (mskEnv->r == MSK_RES_OK) {
mskEnv->r =
MSK_linkfunctotaskstream(mskEnv->task, MSK_STREAM_LOG,
NULL, printstr);
/* Resize the task. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r = MSK_resizetask(mskEnv->task, num_constraints, mskEnv->num_variables, 0, /* no cones!! */
/* number of non-zero constraint matrix entries:
* each constraint applies to 2 vars
*/
2 * num_constraints,
nonzero_lapsize);
/* Append the constraints. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r = MSK_append(mskEnv->task, 1, num_constraints);
/* Append the variables. */
if (mskEnv->r == MSK_RES_OK)
mskEnv->r =
MSK_append(mskEnv->task, 0, mskEnv->num_variables);
/* Put variable bounds. */
for (j = 0;
j < mskEnv->num_variables && mskEnv->r == MSK_RES_OK; j++)
mskEnv->r =
MSK_putbound(mskEnv->task, 0, j, MSK_BK_RA,
-MSK_INFINITY, MSK_INFINITY);
for (i = 0; i < num_constraints; i++) {
int u = getLeftVarID(cs[i]) - 1;
int v = getRightVarID(cs[i]) - 1;
double separation = getSeparation(cs[i]);
if (u < 0) {
mskEnv->r =
MSK_putbound(mskEnv->task, 0, v, MSK_BK_RA,
-MSK_INFINITY, -separation);
assert(mskEnv->r == MSK_RES_OK);
} else if (v < 0) {
mskEnv->r =
MSK_putbound(mskEnv->task, 0, u, MSK_BK_RA,
separation, MSK_INFINITY);
assert(mskEnv->r == MSK_RES_OK);
} else {
/* fprintf(stderr,"u=%d,v=%d,sep=%f\n",u,v,separation); */
INIT_sub_val(u,v);
mskEnv->r =
MSK_putavec(mskEnv->task, 1, i, 2, subi, vali);
assert(mskEnv->r == MSK_RES_OK);
mskEnv->r =
MSK_putbound(mskEnv->task, 1, i, MSK_BK_LO,
separation, MSK_INFINITY);
assert(mskEnv->r == MSK_RES_OK);
}
}
if (mskEnv->r == MSK_RES_OK) {
/*
* The lower triangular part of the Q
* matrix in the objective is specified.
*/
mskEnv->r =
MSK_putqobj(mskEnv->task, nonzero_lapsize,
mskEnv->qsubi, mskEnv->qsubj,
mskEnv->qval);
assert(mskEnv->r == MSK_RES_OK);
}
}
}
return mskEnv;
}
int main(int argc,char *argv[])
{
const MSKint32t numvar = 2,
numcon = 2;
double c[] = { 1.0, 0.64 };
MSKboundkeye bkc[] = { MSK_BK_UP, MSK_BK_LO };
double blc[] = { -MSK_INFINITY,-4.0 };
double buc[] = { 250.0, MSK_INFINITY };
MSKboundkeye bkx[] = { MSK_BK_LO, MSK_BK_LO };
double blx[] = { 0.0, 0.0 };
double bux[] = { MSK_INFINITY, MSK_INFINITY };
MSKint32t aptrb[] = { 0, 2 },
aptre[] = { 2, 4 },
asub[] = { 0, 1, 0, 1 };
double aval[] = { 50.0, 3.0, 31.0, -2.0 };
MSKint32t i,j;
MSKenv_t env = NULL;
MSKtask_t task = NULL;
MSKrescodee r;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL);
/* Check if return code is ok. */
if ( r==MSK_RES_OK )
{
/* Create the optimization task. */
r = MSK_maketask(env,0,0,&task);
if ( r==MSK_RES_OK )
r = MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* Append 'numcon' empty constraints.
The constraints will initially have no bounds. */
if ( r == MSK_RES_OK )
r = MSK_appendcons(task,numcon);
/* Append 'numvar' variables.
The variables will initially be fixed at zero (x=0). */
if ( r == MSK_RES_OK )
r = MSK_appendvars(task,numvar);
/* Optionally add a constant term to the objective. */
if ( r ==MSK_RES_OK )
r = MSK_putcfix(task,0.0);
for(j=0; j<numvar && r == MSK_RES_OK; ++j)
{
/* Set the linear term c_j in the objective.*/
if(r == MSK_RES_OK)
r = MSK_putcj(task,j,c[j]);
/* Set the bounds on variable j.
blx[j] <= x_j <= bux[j] */
if(r == MSK_RES_OK)
r = MSK_putvarbound(task,
j, /* Index of variable.*/
bkx[j], /* Bound key.*/
blx[j], /* Numerical value of lower bound.*/
bux[j]); /* Numerical value of upper bound.*/
/* Input column j of A */
if(r == MSK_RES_OK)
r = MSK_putacol(task,
j, /* Variable (column) index.*/
aptre[j]-aptrb[j], /* Number of non-zeros in column j.*/
asub+aptrb[j], /* Pointer to row indexes of column j.*/
aval+aptrb[j]); /* Pointer to Values of column j.*/
}
/* Set the bounds on constraints.
for i=1, ...,numcon : blc[i] <= constraint i <= buc[i] */
for(i=0; i<numcon && r==MSK_RES_OK; ++i)
r = MSK_putconbound(task,
i, /* Index of constraint.*/
bkc[i], /* Bound key.*/
blc[i], /* Numerical value of lower bound.*/
buc[i]); /* Numerical value of upper bound.*/
/* Specify integer variables. */
for(j=0; j<numvar && r == MSK_RES_OK; ++j)
r = MSK_putvartype(task,j,MSK_VAR_TYPE_INT);
if ( r==MSK_RES_OK )
r = MSK_putobjsense(task,
MSK_OBJECTIVE_SENSE_MAXIMIZE);
if ( r==MSK_RES_OK )
{
MSKrescodee trmcode;
/* Run optimizer */
r = MSK_optimizetrm(task,&trmcode);
/* Print a summary containing information
about the solution for debugging purposes*/
MSK_solutionsummary (task,MSK_STREAM_MSG);
if ( r==MSK_RES_OK )
{
MSKint32t j;
MSKsolstae solsta;
double *xx = NULL;
MSK_getsolsta (task,MSK_SOL_ITG,&solsta);
xx = calloc(numvar,sizeof(double));
if ( xx )
{
switch(solsta)
{
case MSK_SOL_STA_INTEGER_OPTIMAL:
case MSK_SOL_STA_NEAR_INTEGER_OPTIMAL :
MSK_getxx(task,
MSK_SOL_ITG, /* Request the integer solution. */
xx);
printf("Optimal solution.\n");
for(j=0; j<numvar; ++j)
printf("x[%d]: %e\n",j,xx[j]);
break;
case MSK_SOL_STA_PRIM_FEAS:
/* A feasible but not necessarily optimal solution was located. */
MSK_getxx(task,MSK_SOL_ITG,xx);
printf("Feasible solution.\n");
for(j=0; j<numvar; ++j)
printf("x[%d]: %e\n",j,xx[j]);
break;
case MSK_SOL_STA_UNKNOWN:
{
MSKprostae prosta;
MSK_getprosta(task,MSK_SOL_ITG,&prosta);
switch (prosta)
{
case MSK_PRO_STA_PRIM_INFEAS_OR_UNBOUNDED:
printf("Problem status Infeasible or unbounded\n");
break;
case MSK_PRO_STA_PRIM_INFEAS:
printf("Problem status Infeasible.\n");
break;
case MSK_PRO_STA_UNKNOWN:
printf("Problem status unknown.\n");
break;
default:
printf("Other problem status.");
break;
}
}
break;
default:
printf("Other solution status.");
break;
}
}
else
{
r = MSK_RES_ERR_SPACE;
}
free(xx);
}
}
if (r != MSK_RES_OK)
{
/* In case of an error print error code and description. */
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
printf("An error occurred while optimizing.\n");
MSK_getcodedesc (r,
symname,
desc);
printf("Error %s - '%s'\n",symname,desc);
}
MSK_deletetask(&task);
}
MSK_deleteenv(&env);
printf("Return code: %d.\n",r);
return ( r );
} /* main */
int main(int argc,char *argv[])
{
MSKrescodee r;
const MSKint32t numvar = 6,
numcon = 1;
MSKboundkeye bkc[] = { MSK_BK_FX };
double blc[] = { 1.0 };
double buc[] = { 1.0 };
MSKboundkeye bkx[] = {MSK_BK_LO,
MSK_BK_LO,
MSK_BK_LO,
MSK_BK_FR,
MSK_BK_FR,
MSK_BK_FR};
double blx[] = {0.0,
0.0,
0.0,
-MSK_INFINITY,
-MSK_INFINITY,
-MSK_INFINITY};
double bux[] = {+MSK_INFINITY,
+MSK_INFINITY,
+MSK_INFINITY,
+MSK_INFINITY,
+MSK_INFINITY,
+MSK_INFINITY};
double c[] = {0.0,
0.0,
0.0,
1.0,
1.0,
1.0};
MSKint32t aptrb[] = {0, 1, 2, 3, 3, 3},
aptre[] = {1, 2, 3, 3, 3, 3},
asub[] = {0, 0, 0, 0};
double aval[] = {1.0, 1.0, 2.0};
MSKint32t i,j,csub[3];
MSKenv_t env = NULL;
MSKtask_t task = NULL;
/* Create the mosek environment. */
r = MSK_makeenv(&env,NULL);
if ( r==MSK_RES_OK )
{
/* Create the optimization task. */
r = MSK_maketask(env,numcon,numvar,&task);
if ( r==MSK_RES_OK )
{
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
/* Append 'numcon' empty constraints.
The constraints will initially have no bounds. */
if ( r == MSK_RES_OK )
r = MSK_appendcons(task,numcon);
/* Append 'numvar' variables.
The variables will initially be fixed at zero (x=0). */
if ( r == MSK_RES_OK )
r = MSK_appendvars(task,numvar);
for(j=0; j<numvar && r == MSK_RES_OK; ++j)
{
/* Set the linear term c_j in the objective.*/
if(r == MSK_RES_OK)
r = MSK_putcj(task,j,c[j]);
/* Set the bounds on variable j.
blx[j] <= x_j <= bux[j] */
if(r == MSK_RES_OK)
r = MSK_putvarbound(task,
j, /* Index of variable.*/
bkx[j], /* Bound key.*/
blx[j], /* Numerical value of lower bound.*/
bux[j]); /* Numerical value of upper bound.*/
/* Input column j of A */
if(r == MSK_RES_OK)
r = MSK_putacol(task,
j, /* Variable (column) index.*/
aptre[j]-aptrb[j], /* Number of non-zeros in column j.*/
asub+aptrb[j], /* Pointer to row indexes of column j.*/
aval+aptrb[j]); /* Pointer to Values of column j.*/
}
/* Set the bounds on constraints.
for i=1, ...,numcon : blc[i] <= constraint i <= buc[i] */
for(i=0; i<numcon && r==MSK_RES_OK; ++i)
r = MSK_putconbound(task,
i, /* Index of constraint.*/
bkc[i], /* Bound key.*/
blc[i], /* Numerical value of lower bound.*/
buc[i]); /* Numerical value of upper bound.*/
if ( r==MSK_RES_OK )
{
/* Append the first cone. */
csub[0] = 3;
csub[1] = 0;
csub[2] = 1;
r = MSK_appendcone(task,
MSK_CT_QUAD,
0.0, /* For future use only, can be set to 0.0 */
3,
csub);
}
if ( r==MSK_RES_OK )
{
/* Append the second cone. */
csub[0] = 4;
csub[1] = 5;
csub[2] = 2;
r = MSK_appendcone(task,
MSK_CT_RQUAD,
0.0,
3,
csub);
}
if ( r==MSK_RES_OK )
{
MSKrescodee trmcode;
/* Run optimizer */
r = MSK_optimizetrm(task,&trmcode);
/* Print a summary containing information
about the solution for debugging purposes*/
MSK_solutionsummary (task,MSK_STREAM_MSG);
if ( r==MSK_RES_OK )
{
MSKsolstae solsta;
MSK_getsolsta (task,MSK_SOL_ITR,&solsta);
switch(solsta)
{
case MSK_SOL_STA_OPTIMAL:
case MSK_SOL_STA_NEAR_OPTIMAL:
{
double *xx = NULL;
xx = calloc(numvar,sizeof(double));
if ( xx )
{
MSK_getxx (task,
MSK_SOL_ITR, /* Request the interior solution. */
xx);
printf("Optimal primal solution\n");
for(j=0; j<numvar; ++j)
printf("x[%d]: %e\n",j,xx[j]);
}
else
{
r = MSK_RES_ERR_SPACE;
}
free(xx);
}
break;
case MSK_SOL_STA_DUAL_INFEAS_CER:
case MSK_SOL_STA_PRIM_INFEAS_CER:
case MSK_SOL_STA_NEAR_DUAL_INFEAS_CER:
case MSK_SOL_STA_NEAR_PRIM_INFEAS_CER:
printf("Primal or dual infeasibility certificate found.\n");
break;
case MSK_SOL_STA_UNKNOWN:
printf("The status of the solution could not be determined.\n");
break;
default:
printf("Other solution status.");
break;
}
}
else
{
printf("Error while optimizing.\n");
}
}
if (r != MSK_RES_OK)
{
/* In case of an error print error code and description. */
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
printf("An error occurred while optimizing.\n");
MSK_getcodedesc (r,
symname,
desc);
printf("Error %s - '%s'\n",symname,desc);
}
}
/* Delete the task and the associated data. */
MSK_deletetask(&task);
}
/* Delete the environment and the associated data. */
MSK_deleteenv(&env);
return ( r );
} /* main */
int main(int argc,char **argv)
{
MSKenv_t env;
MSKtask_t task;
MSKrescodee r = MSK_RES_OK;
MSKintt numvar = NUMCON;
MSKintt numcon = NUMVAR; /* we must have numvar == numcon */
int i,nz;
double aval[] = {-1.0,1.0,1.0};
MSKidxt asub[] = {1,0,1};
MSKidxt ptrb[] = {0,1};
MSKidxt ptre[] = {1,3};
MSKidxt bsub[NUMCON];
double b[NUMCON];
MSKidxt *basis = NULL;
if (r == MSK_RES_OK)
r = MSK_makeenv(&env,NULL,NULL,NULL,NULL);
if ( r==MSK_RES_OK )
MSK_linkfunctoenvstream(env,MSK_STREAM_LOG,NULL,printstr);
if ( r==MSK_RES_OK )
r = MSK_initenv(env);
if ( r==MSK_RES_OK )
r = MSK_makeemptytask(env,&task);
if ( r==MSK_RES_OK )
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
basis = (MSKidxt *) calloc(numcon,sizeof(MSKidxt));
if ( basis == NULL && numvar)
r = MSK_RES_ERR_SPACE;
/* Put A matrix and factor A.
Call this function only once for a given task. */
if (r == MSK_RES_OK)
r = put_a( task,
aval,
asub,
ptrb,
ptre,
numvar,
basis
);
/* now solve rhs */
b[0] = 1;
b[1] = -2;
bsub[0] = 0;
bsub[1] = 1;
nz = 2;
if (r == MSK_RES_OK)
r = MSK_solvewithbasis(task,0,&nz,bsub,b);
if (r == MSK_RES_OK)
{
printf("\nSolution to Bx = b:\n\n");
/* Print solution and show correspondents
to original variables in the problem */
for (i=0;i<nz;++i)
{
if (basis[bsub[i]] < numcon)
printf("This should never happen\n");
else
printf ("x%d = %e\n",basis[bsub[i]] - numcon , b[bsub[i]] );
}
}
b[0] = 7;
bsub[0] = 0;
nz = 1;
if (r == MSK_RES_OK)
r = MSK_solvewithbasis(task,0,&nz,bsub,b);
if (r == MSK_RES_OK)
{
printf("\nSolution to Bx = b:\n\n");
/* Print solution and show correspondents
to original variables in the problem */
for (i=0;i<nz;++i)
{
if (basis[bsub[i]] < numcon)
printf("This should never happen\n");
else
printf ("x%d = %e\n",basis[bsub[i]] - numcon , b[bsub[i]] );
}
}
free (basis);
return r;
}
bool ConicSolver::Solve(VectorXd& sol)
{
bool ret = false;
#ifdef _WIN32
VectorXd solution;
convertMatrixVectorFormat();
MSKenv_t env;
MSKtask_t task;
MSKrescodee r;
r = MSK_makeenv(&env, NULL, NULL, NULL, NULL);
if (r == MSK_RES_OK)
{
r = MSK_linkfunctoenvstream(env, MSK_STREAM_LOG, NULL, printstr);
}
r = MSK_initenv(env);
if (r == MSK_RES_OK)
{
r = MSK_maketask(env, mNumCon, mNumVar, &task);
if (r == MSK_RES_OK)
{
r = MSK_linkfunctotaskstream(task, MSK_STREAM_LOG, NULL, printstr);
}
if (r == MSK_RES_OK)
r = MSK_putmaxnumvar(task, mNumVar);
if (r == MSK_RES_OK)
r = MSK_putmaxnumcon(task, mNumCon);
/* Append ¡¯NUMCON ¡¯ empty constraints .
The constraints will initially have no bounds . */
if (r == MSK_RES_OK)
r = MSK_append(task, MSK_ACC_CON, mNumCon);
/* Append ¡¯NUMVAR ¡¯ variables .
The variables will initially be fixed at zero (x =0). */
if (r == MSK_RES_OK)
r = MSK_append(task, MSK_ACC_VAR, mNumVar);
/* Optionally add a constant term to the objective . */
if (r == MSK_RES_OK)
r = MSK_putcfix(task, mConstant);
for (int j = 0; j < mNumVar && r == MSK_RES_OK; ++j)
{
/* Set the linear term c_j in the objective .*/
if (r == MSK_RES_OK)
r = MSK_putcj(task, j, mc[j]);
/* Set the bounds on variable j.*/
if (r == MSK_RES_OK)
{
if (mbLowerBounded[j] && mbUpperBounded[j])
{
if (mlb[j] == mub[j])
r = MSK_putbound(task, MSK_ACC_VAR, j, MSK_BK_FX, mlb[j], mub[j]);
else
{
CHECK(mlb[j] < mub[j]);
r = MSK_putbound(task, MSK_ACC_VAR, j, MSK_BK_RA, mlb[j], mub[j]);
}
}
else if (mbLowerBounded[j])
{
r = MSK_putbound(task, MSK_ACC_VAR, j , MSK_BK_LO, mlb[j], +MSK_INFINITY);
}
else if (mbUpperBounded[j])
{
r = MSK_putbound(task, MSK_ACC_VAR, j, MSK_BK_UP, -MSK_INFINITY, mub[j]);
}
else
{
r = MSK_putbound(task, MSK_ACC_VAR, j, MSK_BK_FR, -MSK_INFINITY, +MSK_INFINITY);
}
}
/* Input column j of A */
if (r == MSK_RES_OK && mNumCon)
{
int currentColumnIdx = mAColumnStartIdx[j];
int nextColumnIdx = mAColumnStartIdx[j + 1];
if (nextColumnIdx - currentColumnIdx > 0)
r = MSK_putavec(task, MSK_ACC_VAR, j, nextColumnIdx - currentColumnIdx, &(mARowIdx[currentColumnIdx]), &(mAValues[currentColumnIdx]));
}
}
/* Set the bounds on constraints .
for i=1, ... , NUMCON : blc [i] <= constraint i <= buc [i] */
for (int i = 0; i < mNumCon && r == MSK_RES_OK; ++i)
{
if (mbConstraintLowerBounded[i] && mbConstraintUpperBounded[i])
{
if (mlbc[i] == mubc[i])
{
r = MSK_putbound(task, MSK_ACC_CON, i, MSK_BK_FX, mlbc[i], mubc[i]);
}
else
{
r = MSK_putbound(task, MSK_ACC_CON, i, MSK_BK_RA, mlbc[i], mubc[i]);
}
}
else if (mbConstraintLowerBounded[i])
{
r = MSK_putbound(task, MSK_ACC_CON, i, MSK_BK_LO, mlbc[i], +MSK_INFINITY);
}
else if (mbConstraintUpperBounded[i])
{
r = MSK_putbound(task, MSK_ACC_CON, i, MSK_BK_UP, -MSK_INFINITY, mubc[i]);
}
else
{
LOG(WARNING) << "Every constraint should not be free.";
}
}
for (int i = 0; i < mNumCone; ++i)
{
Cone& cone = mCones[i];
r = MSK_appendcone(task, MSK_CT_RQUAD, 0.0, cone.mSubscripts.size(), cone.GetMosekConeSubId());
//r = MSK_appendcone(task, MSK_CT_QUAD, 0.0, cone.mSubscripts.size(), cone.GetMosekConeSubId());
}
if (r == MSK_RES_OK)
{
MSKrescodee trmcode;
r = MSK_optimizetrm(task, &trmcode);
MSK_solutionsummary(task, MSK_STREAM_LOG);
if (r == MSK_RES_OK)
{
MSKsolstae solsta;
MSK_getsolutionstatus(task, MSK_SOL_ITR, NULL, &solsta);
double* result = new double[mNumVar];
switch (solsta)
{
case MSK_SOL_STA_OPTIMAL:
case MSK_SOL_STA_NEAR_OPTIMAL:
MSK_getsolutionslice(task, MSK_SOL_ITR, MSK_SOL_ITEM_XX, 0, mNumVar, result);
LOG(INFO) << "Optimal primal solution";
ret = true;
solution = VectorXd::Zero(mNumVar);
sol = VectorXd::Zero(mNumVar);
for (int k = 0; k < mNumVar; ++k)
{
solution[k] = result[k];
sol[k] = result[k];
}
break;
case MSK_SOL_STA_DUAL_INFEAS_CER:
case MSK_SOL_STA_PRIM_INFEAS_CER:
case MSK_SOL_STA_NEAR_DUAL_INFEAS_CER:
case MSK_SOL_STA_NEAR_PRIM_INFEAS_CER:
LOG(WARNING) << "Primal or dual infeasibility certificate found.";
break;
case MSK_SOL_STA_UNKNOWN:
LOG(WARNING) << "The status of the solution could not be determined.";
break;
default:
LOG(WARNING) << "Other solution status.";
break;
}
delete[] result;
}
}
else
{
LOG(WARNING) << "Error while optimizing.";
}
if (r != MSK_RES_OK)
{
char symname[MSK_MAX_STR_LEN];
char desc[MSK_MAX_STR_LEN];
LOG(WARNING) << "An error occurred while optimizing.";
MSK_getcodedesc(r, symname, desc);
LOG(WARNING) << "Error " << symname << " - " << desc;
}
}
MSK_deletetask(&task);
MSK_deleteenv(&env);
#endif
return ret;
}
int main(int argc,char *argv[])
{
MSKrescodee
r;
MSKboundkeye
bkc[NUMCON],bkx[NUMVAR];
int
j,i,
ptrb[NUMVAR],ptre[NUMVAR],sub[NUMANZ];
double
blc[NUMCON],buc[NUMCON],
c[NUMVAR],blx[NUMVAR],bux[NUMVAR],val[NUMANZ],
xx[NUMVAR];
MSKenv_t env;
MSKtask_t task;
/* Make mosek environment. */
r = MSK_makeenv(&env,NULL,NULL,NULL,NULL);
/* Check is return code is ok. */
if ( r==MSK_RES_OK )
{
/* Directs the env log stream to the user
specified procedure 'printstr'. */
MSK_linkfunctoenvstream(env,MSK_STREAM_LOG,NULL,printstr);
}
/* Initialize the environment. */
r = MSK_initenv(env);
if ( r==MSK_RES_OK )
{
/* Send a message to the MOSEK Message stream. */
MSK_echoenv(env,
MSK_STREAM_MSG,
"\nMaking the MOSEK optimization task\n");
/* Make the optimization task. */
r = MSK_maketask(env,NUMCON,NUMVAR,&task);
if ( r==MSK_RES_OK )
{
/* Directs the log task stream to the user
specified procedure 'printstr'. */
MSK_linkfunctotaskstream(task,MSK_STREAM_LOG,NULL,printstr);
MSK_echotask(task,
MSK_STREAM_MSG,
"\nDefining the problem data.\n");
/* Define bounds for the constraints. */
/* Constraint: 0 */
bkc[0] = MSK_BK_FX; /* Type of bound. */
blc[0] = 30.0; /* Lower bound on the
constraint. */
buc[0] = 30.0; /* Upper bound on the
constraint. */
/* Constraint: 1 */
bkc[1] = MSK_BK_LO;
blc[1] = 15.0;
buc[1] = MSK_INFINITY;
/* Constraint: 2 */
bkc[2] = MSK_BK_UP;
blc[2] = -MSK_INFINITY;
buc[2] = 25.0;
/* Define information for the variables. */
/* Variable: x0 */
c[0] = 3.0; /* The objective function. */
ptrb[0] = 0; ptre[0] = 2; /* First column in
the constraint matrix. */
sub[0] = 0; val[0] = 3.0;
sub[1] = 1; val[1] = 2.0;
bkx[0] = MSK_BK_LO; /* Type of bound. */
blx[0] = 0.0; /* Lower bound on the
variables. */
bux[0] = MSK_INFINITY; /* Upper bound on the
variables. */
/* Variable: x1 */
c[1] = 1.0;
ptrb[1] = 2; ptre[1] = 5;
sub[2] = 0; val[2] = 1.0;
sub[3] = 1; val[3] = 1.0;
sub[4] = 2; val[4] = 2.0;
bkx[1] = MSK_BK_RA;
blx[1] = 0.0;
bux[1] = 10;
/* Variable: x2 */
c[2] = 5.0;
ptrb[2] = 5; ptre[2] = 7;
sub[5] = 0; val[5] = 2.0;
sub[6] = 1; val[6] = 3.0;
bkx[2] = MSK_BK_LO;
blx[2] = 0.0;
bux[2] = MSK_INFINITY;
/* Variable: x3 */
c[3] = 1.0;
ptrb[3] = 7; ptre[3] = 9;
sub[7] = 1; val[7] = 1.0;
sub[8] = 2; val[8] = 3.0;
bkx[3] = MSK_BK_LO;
blx[3] = 0.0;
bux[3] = MSK_INFINITY;
MSK_putobjsense(task,
MSK_OBJECTIVE_SENSE_MAXIMIZE);
/* Use the primal simplex optimizer. */
MSK_putintparam(task,
MSK_IPAR_OPTIMIZER,
MSK_OPTIMIZER_PRIMAL_SIMPLEX);
MSK_echotask(task,
MSK_STREAM_MSG,
"\nAdding constraints\n");
r = MSK_append(task,
MSK_ACC_CON,
NUMCON);
/* Adding bounds on empty constraints */
for(i=0; r==MSK_RES_OK && i<NUMCON; ++i)
{
r = MSK_putbound(task,
MSK_ACC_CON,
i,
bkc[i],
blc[i],
buc[i]);
}
/* Dynamically adding columns */
for(j= 0; r==MSK_RES_OK && j<NUMVAR; ++j)
{
MSK_echotask(task,
MSK_STREAM_MSG,
"\nAdding a new variable.\n");
r = MSK_append(task,MSK_ACC_VAR,1);
if ( r==MSK_RES_OK )
r = MSK_putcj(task,j,c[j]);
if ( r==MSK_RES_OK )
r = MSK_putavec(task,
MSK_ACC_VAR,
j,
ptre[j]-ptrb[j],
sub+ptrb[j],
val+ptrb[j]);
if ( r==MSK_RES_OK )
r = MSK_putbound(task,
MSK_ACC_VAR,
j,
bkx[j],
blx[j],
bux[j]);
if( r == MSK_RES_OK )
{
MSK_echotask(task,
MSK_STREAM_MSG,
"\nOptimizing\n");
r = MSK_optimize(task);
MSK_solutionsummary(task,MSK_STREAM_MSG);
}
}
MSK_deletetask(&task);
}
}
MSK_deleteenv(&env);
printf("Return code: %d (0 means no error occured.)\n",r);
return ( r );
} /* main */