diff options
author | Harpreet | 2015-11-24 11:50:13 +0530 |
---|---|---|
committer | Harpreet | 2015-11-24 11:50:13 +0530 |
commit | 92e88ea2600cc66ff8e8b7bb9c63bf72d78f1619 (patch) | |
tree | e4ae42f00de606e65ec3e6acb7fc7ce3366e2209 /sci_gateway | |
parent | 5d6df2fd95bc566d3b9efab874ad26c4a4789b71 (diff) | |
download | FOSSEE-Optimization-toolbox-92e88ea2600cc66ff8e8b7bb9c63bf72d78f1619.tar.gz FOSSEE-Optimization-toolbox-92e88ea2600cc66ff8e8b7bb9c63bf72d78f1619.tar.bz2 FOSSEE-Optimization-toolbox-92e88ea2600cc66ff8e8b7bb9c63bf72d78f1619.zip |
code optimization
Diffstat (limited to 'sci_gateway')
-rw-r--r-- | sci_gateway/cpp/sci_iofunc.cpp | 55 | ||||
-rw-r--r-- | sci_gateway/cpp/sci_iofunc.hpp | 4 | ||||
-rw-r--r-- | sci_gateway/cpp/sci_ipopt.cpp | 440 |
3 files changed, 151 insertions, 348 deletions
diff --git a/sci_gateway/cpp/sci_iofunc.cpp b/sci_gateway/cpp/sci_iofunc.cpp index e1c8610..395aa3a 100644 --- a/sci_gateway/cpp/sci_iofunc.cpp +++ b/sci_gateway/cpp/sci_iofunc.cpp @@ -159,6 +159,28 @@ int getDoubleMatrixFromScilab(int argNum, int *rows, int *cols, double **dest) return 0; } +int getFixedSizeDoubleMatrixInList(int argNum, int itemPos, int rows, int cols, double **dest) +{ + int *varAddress,inputMatrixRows,inputMatrixCols; + SciErr sciErr; + const char errMsg[]="Wrong type for input argument #%d: A matrix of double of size %d by %d is expected.\n"; + const int errNum=999; + //same steps as above + sciErr = getVarAddressFromPosition(pvApiCtx, argNum, &varAddress); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 1; + } + + getMatrixOfDoubleInList(pvApiCtx, varAddress, itemPos, &rows, &cols, dest); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } +} + int return0toScilab() { int iRet; @@ -192,3 +214,36 @@ int returnDoubleToScilab(double retVal) //ReturnArguments(pvApiCtx); return 0; } + +int returnDoubleMatrixToScilab(int itemPos, int rows, int cols, double *dest) +{ + SciErr sciErr; + //same steps as above + sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + itemPos, rows, cols, dest); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, itemPos) = nbInputArgument(pvApiCtx)+itemPos; + + return 0; +} + +int returnIntegerMatrixToScilab(int itemPos, int rows, int cols, int *dest) +{ + SciErr sciErr; + //same steps as above + sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx) + itemPos, rows, cols, dest); + if (sciErr.iErr) + { + printError(&sciErr, 0); + return 0; + } + + AssignOutputVariable(pvApiCtx, itemPos) = nbInputArgument(pvApiCtx)+itemPos; + + return 0; +} + diff --git a/sci_gateway/cpp/sci_iofunc.hpp b/sci_gateway/cpp/sci_iofunc.hpp index 1cf9a1a..3833777 100644 --- a/sci_gateway/cpp/sci_iofunc.hpp +++ b/sci_gateway/cpp/sci_iofunc.hpp @@ -11,9 +11,13 @@ int getUIntFromScilab(int argNum, int *dest); int getIntFromScilab(int argNum, int *dest); int getFixedSizeDoubleMatrixFromScilab(int argNum, int rows, int cols, double **dest); int getDoubleMatrixFromScilab(int argNum, int *rows, int *cols, double **dest); +int getFixedSizeDoubleMatrixInList(int argNum, int itemPos, int rows, int cols, double **dest); + //output int return0toScilab(); int returnDoubleToScilab(double retVal); +int returnDoubleMatrixToScilab(int itemPos, int rows, int cols, double *dest); +int returnIntegerMatrixToScilab(int itemPos, int rows, int cols, int *dest); #endif //SCI_IOFUNCHEADER diff --git a/sci_gateway/cpp/sci_ipopt.cpp b/sci_gateway/cpp/sci_ipopt.cpp index 98ed153..0f94e47 100644 --- a/sci_gateway/cpp/sci_ipopt.cpp +++ b/sci_gateway/cpp/sci_ipopt.cpp @@ -7,7 +7,6 @@ Harpreet Singh */ - #include "sci_iofunc.hpp" #include "IpIpoptApplication.hpp" #include "QuadNLP.hpp" @@ -19,325 +18,134 @@ extern "C"{ #include <localization.h> #include <sciprint.h> -int j; -double *op_x, *op_obj,*p; - -bool readSparse(int arg,int *iRows,int *iCols,int *iNbItem,int** piNbItemRow, int** piColPos, double** pdblReal){ - SciErr sciErr; - int* piAddr = NULL; - int iType = 0; - int iRet = 0; - sciErr = getVarAddressFromPosition(pvApiCtx, arg, &piAddr); - if(sciErr.iErr) { - printError(&sciErr, 0); - return false; - } - sciprint("\ndone\n"); - if(isSparseType(pvApiCtx, piAddr)){ - sciprint("done\n"); - sciErr =getSparseMatrix(pvApiCtx, piAddr, iRows, iCols, iNbItem, piNbItemRow, piColPos, pdblReal); - if(sciErr.iErr) { - printError(&sciErr, 0); - return false; - } - } - - else { - sciprint("\nSparse matrix required\n"); - return false; - } - return true; - } - int sci_solveqp(char *fname) { - + using namespace Ipopt; + CheckInputArgument(pvApiCtx, 11, 11); // We need total 10 input arguments. CheckOutputArgument(pvApiCtx, 7, 7); // Error management variable SciErr sciErr; - int retVal=0, *piAddressVarQ = NULL,*piAddressVarP = NULL,*piAddressVarCM = NULL,*piAddressVarCUB = NULL,*piAddressVarCLB = NULL, *piAddressVarLB = NULL,*piAddressVarUB = NULL,*piAddressVarG = NULL,*piAddressVarParam = NULL; - double *QItems=NULL,*PItems=NULL,*ConItems=NULL,*conUB=NULL,*conLB=NULL,*varUB=NULL,*varLB=NULL,*init_guess = NULL; - double *cpu_time=NULL, *max_iter=NULL, x,f,iter; + + // Input arguments + double *QItems=NULL,*PItems=NULL,*ConItems=NULL,*conUB=NULL,*conLB=NULL; + double *cpu_time=NULL,*max_iter=NULL,*varUB=NULL,*varLB=NULL,*init_guess=NULL; static unsigned int nVars = 0,nCons = 0; - unsigned int temp1 = 0,temp2 = 0; + unsigned int temp1 = 0,temp2 = 0, iret = 0; + // Output arguments + double *fX = NULL, ObjVal=0,iteration=0, *Zl=NULL, *Zu=NULL, *Lambda=NULL; + int rstatus = 0; ////////// Manage the input argument ////////// - //Number of Variables - getIntFromScilab(1,&nVars); - - //Number of Constraints - getIntFromScilab(2,&nCons); - - temp1 = nVars; - temp2 = nCons; - - //Q matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 3, &piAddressVarQ); - if (sciErr.iErr) + if(getIntFromScilab(1,&nVars)) { - printError(&sciErr, 0); - return 0; + return 1; } - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarQ) || isVarComplex(pvApiCtx, piAddressVarQ) ) + //Number of Constraints + if (getIntFromScilab(2,&nCons)) { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 3); - return 0; + return 1; } - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarQ, &temp1, &temp1, &QItems); - if (sciErr.iErr) + //Q matrix from scilab + temp1 = nVars; + temp2 = nCons; + if (getFixedSizeDoubleMatrixFromScilab(3,temp1,temp1,&QItems)) { - printError(&sciErr, 0); - return 0; + return 1; } //P matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 4, &piAddressVarP); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarP) || isVarComplex(pvApiCtx, piAddressVarP) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 4); - return 0; - } - temp1 = 1; temp2 = nVars; - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarP, &temp1,&temp2, &PItems); - if (sciErr.iErr) + if (getFixedSizeDoubleMatrixFromScilab(4,temp1,temp2,&PItems)) { - printError(&sciErr, 0); - return 0; + return 1; } if (nCons!=0) { //conMatrix matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 5, &piAddressVarCM); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarCM) || isVarComplex(pvApiCtx, piAddressVarCM) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 5); - return 0; - } temp1 = nCons; temp2 = nVars; - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarCM,&temp1, &temp2, &ConItems); - if (sciErr.iErr) + if (getFixedSizeDoubleMatrixFromScilab(5,temp1,temp2,&ConItems)) { - printError(&sciErr, 0); - return 0; + return 1; } - //conLB matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 6, &piAddressVarCLB); - if (sciErr.iErr) + temp1 = 1; + temp2 = nCons; + if (getFixedSizeDoubleMatrixFromScilab(6,temp1,temp2,&conLB)) { - printError(&sciErr, 0); - return 0; + return 1; } - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarCLB) || isVarComplex(pvApiCtx, piAddressVarCLB) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 6); - return 0; - } - temp1 = nCons; - temp2 = 1; - - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarCLB,&temp1, &temp2, &conLB); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - //conUB matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 7, &piAddressVarCUB); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarCUB) || isVarComplex(pvApiCtx, piAddressVarCUB) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 7); - return 0; - } - - temp1 = nCons; - temp2 = 1; - - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarCUB,&temp1, &temp2, &conUB); - if (sciErr.iErr) + if (getFixedSizeDoubleMatrixFromScilab(7,temp1,temp2,&conUB)) { - printError(&sciErr, 0); - return 0; + return 1; } - } //varLB matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 8, &piAddressVarLB); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarLB) || isVarComplex(pvApiCtx, piAddressVarLB) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 8); - return 0; - } temp1 = 1; temp2 = nVars; - - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarLB, &temp1,&temp2, &varLB); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - //varUB matrix from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 9, &piAddressVarUB); - if (sciErr.iErr) + if (getFixedSizeDoubleMatrixFromScilab(8,temp1,temp2,&varLB)) { - printError(&sciErr, 0); - return 0; - } - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarUB) || isVarComplex(pvApiCtx, piAddressVarUB) ) - { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 9); - return 0; + return 1; } - temp1 = 1; - temp2 = nVars; - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarUB, &temp1,&temp2, &varUB); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarLB, &temp1,&temp2, &varLB); - if (sciErr.iErr) + //varUB matrix from scilab + if (getFixedSizeDoubleMatrixFromScilab(9,temp1,temp2,&varUB)) { - printError(&sciErr, 0); - return 0; + return 1; } //Initial Value of variables from scilab - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 10, &piAddressVarG); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } - /* Check that the first input argument is a real matrix (and not complex) */ - if ( !isDoubleType(pvApiCtx, piAddressVarG) || isVarComplex(pvApiCtx, piAddressVarG) ) + if (getFixedSizeDoubleMatrixFromScilab(10,temp1,temp2,&init_guess)) { - Scierror(999, "%s: Wrong type for input argument #%d: A real matrix expected.\n", fname, 10); - return 0; - } - - temp1 = 1; - temp2 = nVars; - - /* get matrix */ - sciErr = getMatrixOfDouble(pvApiCtx, piAddressVarG, &temp1,&temp2, &init_guess); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; + return 1; } - //Setting the parameters - /* get Address of inputs */ - sciErr = getVarAddressFromPosition(pvApiCtx, 11, &piAddressVarParam); - if (sciErr.iErr) - { - printError(&sciErr, 0); - return 0; - } + //Getting the parameters temp1 = 1; temp2 = 1; - /* get matrix */ - sciErr = getMatrixOfDoubleInList(pvApiCtx, piAddressVarParam, 2, &temp1,&temp2, &max_iter); - if (sciErr.iErr) + //Getting maximum iteration + if (getFixedSizeDoubleMatrixInList(11,2,temp1,temp2,&max_iter)) { - printError(&sciErr, 0); - return 0; + return 1; } - /* get matrix */ - sciErr = getMatrixOfDoubleInList(pvApiCtx, piAddressVarParam, 4, &temp1,&temp2, &cpu_time); - if (sciErr.iErr) + //Getting Cpu Time + if (getFixedSizeDoubleMatrixInList(11,4,temp1,temp2,&cpu_time)) { - printError(&sciErr, 0); - return 0; + return 1; } - using namespace Ipopt; + // Starting Ipopt + + SmartPtr<QuadNLP> Prob = + new QuadNLP(nVars,nCons,QItems,PItems,ConItems,conUB,conLB,varUB,varLB,init_guess); - SmartPtr<QuadNLP> Prob = new QuadNLP(nVars,nCons,QItems,PItems,ConItems,conUB,conLB,varUB,varLB,init_guess); SmartPtr<IpoptApplication> app = IpoptApplicationFactory(); app->RethrowNonIpoptException(true); - // Change some options - // Note: The following choices are only examples, they might not be - // suitable for your optimization problem. + ////////// Managing the parameters ////////// + app->Options()->SetNumericValue("tol", 1e-7); app->Options()->SetIntegerValue("max_iter", (int)*max_iter); app->Options()->SetNumericValue("max_cpu_time", *cpu_time); app->Options()->SetStringValue("mu_strategy", "adaptive"); - // Indicates whether all equality constraints are linear app->Options()->SetStringValue("jac_c_constant", "yes"); // Indicates whether all inequality constraints are linear @@ -345,7 +153,7 @@ int sci_solveqp(char *fname) // Indicates whether the problem is a quadratic problem app->Options()->SetStringValue("hessian_constant", "yes"); - // Initialize the IpoptApplication and process the options + ///////// Initialize the IpoptApplication and process the options ///////// ApplicationReturnStatus status; status = app->Initialize(); if (status != Solve_Succeeded) { @@ -356,165 +164,101 @@ int sci_solveqp(char *fname) status = app->OptimizeTNLP(Prob); - int stats = Prob->returnStatus(); + rstatus = Prob->returnStatus(); + + ////////// Manage the output argument ////////// - if (stats == 0 | stats == 1 | stats == 2){ - double *fX = Prob->getX(); - double ObjVal = Prob->getObjVal(); - double iteration = Prob->iterCount(); + if (rstatus == 0 | rstatus == 1 | rstatus == 2){ + fX = Prob->getX(); + ObjVal = Prob->getObjVal(); + iteration = Prob->iterCount(); - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, 1, nVars, fX); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(1, 1, nVars, fX)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2,1,1,&ObjVal); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(2, 1, 1, &ObjVal)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx) + 3,1,1,&stats); - if (sciErr.iErr) + if (returnIntegerMatrixToScilab(3, 1, 1, &rstatus)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 4,1,1,&iteration); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(4, 1, 1, &iteration)) { - printError(&sciErr, 0); - return 0; + return 1; } - - AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1; - AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2; - AssignOutputVariable(pvApiCtx, 3) = nbInputArgument(pvApiCtx) + 3; - AssignOutputVariable(pvApiCtx, 4) = nbInputArgument(pvApiCtx) + 4; } else { - double *fX = NULL; - double ObjVal = 0; - int stats = Prob->returnStatus(); - double iteration = 0; - - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 1, 0, 0, fX); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(1, 0, 0, fX)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 2,1,1,&ObjVal); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(2, 1, 1, &ObjVal)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfInteger32(pvApiCtx, nbInputArgument(pvApiCtx) + 3,1,1,&stats); - if (sciErr.iErr) + if (returnIntegerMatrixToScilab(3, 1, 1, &rstatus)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 4,1,1,&iteration); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(4, 1, 1, &iteration)) { - printError(&sciErr, 0); - return 0; + return 1; } - - AssignOutputVariable(pvApiCtx, 1) = nbInputArgument(pvApiCtx) + 1; - AssignOutputVariable(pvApiCtx, 2) = nbInputArgument(pvApiCtx) + 2; - AssignOutputVariable(pvApiCtx, 3) = nbInputArgument(pvApiCtx) + 3; - AssignOutputVariable(pvApiCtx, 4) = nbInputArgument(pvApiCtx) + 4; } - if(stats == 0){ - - double *Zl = Prob->getZl(); - double *Zu = Prob->getZu(); - double *Lambda = Prob->getLambda(); + if(rstatus == 0){ - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 5, 1, nVars, Zl); - if (sciErr.iErr) + Zl = Prob->getZl(); + Zu = Prob->getZu(); + Lambda = Prob->getLambda(); + if (returnDoubleMatrixToScilab(5, 1, nVars, Zl)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 6, 1, nVars, Zu); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(6, 1, nVars, Zu)) { - printError(&sciErr, 0); - return 0; + return 1; } - - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 7, 1, nCons, Lambda); - if (sciErr.iErr) + + if (returnDoubleMatrixToScilab(7, 1, 1, Lambda)) { - printError(&sciErr, 0); - return 0; + return 1; } - - AssignOutputVariable(pvApiCtx, 5) = nbInputArgument(pvApiCtx) + 5; - AssignOutputVariable(pvApiCtx, 6) = nbInputArgument(pvApiCtx) + 6; - AssignOutputVariable(pvApiCtx, 7) = nbInputArgument(pvApiCtx) + 7; } else{ - double *Zl = NULL; - double *Zu = NULL; - double *Lambda = NULL; - - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 5, 0, 0, Zl); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(5, 0, 0, Zl)) { - printError(&sciErr, 0); - return 0; + return 1; } - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 6, 0, 0, Zu); - if (sciErr.iErr) + if (returnDoubleMatrixToScilab(6, 0, 0, Zu)) { - printError(&sciErr, 0); - return 0; + return 1; } - - sciErr = createMatrixOfDouble(pvApiCtx, nbInputArgument(pvApiCtx) + 7, 0, 0, Lambda); - if (sciErr.iErr) + + if (returnDoubleMatrixToScilab(7, 0, 0, Lambda)) { - printError(&sciErr, 0); - return 0; + return 1; } - - AssignOutputVariable(pvApiCtx, 5) = nbInputArgument(pvApiCtx) + 5; - AssignOutputVariable(pvApiCtx, 6) = nbInputArgument(pvApiCtx) + 6; - AssignOutputVariable(pvApiCtx, 7) = nbInputArgument(pvApiCtx) + 7; } - // As the SmartPtrs go out of scope, the reference count // will be decremented and the objects will automatically // be deleted. return 0; } - } - -/* -hessian_constan -jacobian _constant - -j_s_d constant : yes -*/ - |