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-rw-r--r--build/cpp/cpp_intfminunc.cpp174
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diff --git a/build/cpp/cpp_intfminunc.cpp b/build/cpp/cpp_intfminunc.cpp
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-// Copyright (C) 2016 - IIT Bombay - FOSSEE
-//
-// This file must be used under the terms of the CeCILL.
-// This source file is licensed as described in the file COPYING, which
-// you should have received as part of this distribution. The terms
-// are also available at
-// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
-// Author: Harpreet Singh, Pranav Deshpande and Akshay Miterani
-// Organization: FOSSEE, IIT Bombay
-// Email: toolbox@scilab.in
-
-#include "CoinPragma.hpp"
-#include "CoinTime.hpp"
-#include "CoinError.hpp"
-
-#include "BonOsiTMINLPInterface.hpp"
-#include "BonIpoptSolver.hpp"
-#include "minuncTMINLP.hpp"
-#include "BonCbc.hpp"
-#include "BonBonminSetup.hpp"
-
-#include "BonOACutGenerator2.hpp"
-#include "BonEcpCuts.hpp"
-#include "BonOaNlpOptim.hpp"
-
-#include "sci_iofunc.hpp"
-extern "C"
-{
-#include "call_scilab.h"
-#include <api_scilab.h>
-#include <Scierror.h>
-#include <BOOL.h>
-#include <localization.h>
-#include <sciprint.h>
-
-int cpp_intfminunc(char *fname)
-{
- using namespace Ipopt;
- using namespace Bonmin;
-
- CheckInputArgument(pvApiCtx, 8, 8); // We need total 12 input arguments.
- CheckOutputArgument(pvApiCtx, 3, 3); // 3 output arguments
-
- //Function pointers, input matrix(Starting point) pointer, flag variable
- int* funptr=NULL;
- double* x0ptr=NULL;
-
- // Input arguments
- Number *integertolerance=NULL, *maxnodes=NULL, *allowablegap=NULL, *cputime=NULL,*max_iter=NULL;
- static unsigned int nVars = 0,nCons = 0;
- unsigned int temp1 = 0,temp2 = 0, iret = 0;
- int x0_rows, x0_cols;
- double *intcon = NULL,*options=NULL, *ifval=NULL;
- int intconSize;
-
- // Output arguments
- double *fX = NULL, ObjVal=0,iteration=0,cpuTime=0,fobj_eval=0;
- double dual_inf, constr_viol, complementarity, kkt_error;
- int rstatus = 0;
- int int_fobj_eval, int_constr_eval, int_fobj_grad_eval, int_constr_jac_eval, int_hess_eval;
-
- //x0(starting point) matrix from scilab
- if(getDoubleMatrixFromScilab(4, &x0_rows, &x0_cols, &x0ptr))
- {
- return 1;
- }
-
- nVars=x0_rows;
-
- // Getting intcon
- if (getDoubleMatrixFromScilab(5,&intconSize,&temp2,&intcon))
- {
- return 1;
- }
-
- temp1 = 1;
- temp2 = 1;
-
- //Getting parameters
- if (getFixedSizeDoubleMatrixInList(6,2,temp1,temp2,&integertolerance))
- {
- return 1;
- }
- if (getFixedSizeDoubleMatrixInList(6,4,temp1,temp2,&maxnodes))
- {
- return 1;
- }
- if (getFixedSizeDoubleMatrixInList(6,6,temp1,temp2,&cputime))
- {
- return 1;
- }
- if (getFixedSizeDoubleMatrixInList(6,8,temp1,temp2,&allowablegap))
- {
- return 1;
- }
- if (getFixedSizeDoubleMatrixInList(6,10,temp1,temp2,&max_iter))
- {
- return 1;
- }
-
- SmartPtr<minuncTMINLP> tminlp = new minuncTMINLP(nVars, x0ptr, intconSize, intcon);
-
- BonminSetup bonmin;
- bonmin.initializeOptionsAndJournalist();
-
- // Here we can change the default value of some Bonmin or Ipopt option
- bonmin.options()->SetStringValue("mu_oracle","loqo");
- bonmin.options()->SetNumericValue("bonmin.integer_tolerance", *integertolerance);
- bonmin.options()->SetIntegerValue("bonmin.node_limit", (int)*maxnodes);
- bonmin.options()->SetNumericValue("bonmin.time_limit", *cputime);
- bonmin.options()->SetNumericValue("bonmin.allowable_gap", *allowablegap);
- bonmin.options()->SetIntegerValue("bonmin.iteration_limit", (int)*max_iter);
-
- //Now initialize from tminlp
- bonmin.initialize(GetRawPtr(tminlp));
-
- //Set up done, now let's branch and bound
- try {
- Bab bb;
- bb(bonmin);//process parameter file using Ipopt and do branch and bound using Cbc
- }
- catch(TNLPSolver::UnsolvedError *E) {
- //There has been a failure to solve a problem with Ipopt.
- Scierror(999, "\nIpopt has failed to solve the problem!\n");
- }
- catch(OsiTMINLPInterface::SimpleError &E) {
- Scierror(999, "\nFailed to solve a problem!\n");
- }
- catch(CoinError &E) {
- Scierror(999, "\nFailed to solve a problem!\n");
- }
- rstatus=tminlp->returnStatus();
- if(rstatus==0 ||rstatus== 3)
- {
- fX = tminlp->getX();
- ObjVal = tminlp->getObjVal();
- if (returnDoubleMatrixToScilab(1, nVars, 1, fX))
- {
- return 1;
- }
-
- if (returnDoubleMatrixToScilab(2, 1, 1, &ObjVal))
- {
- return 1;
- }
-
- if (returnIntegerMatrixToScilab(3, 1, 1, &rstatus))
- {
- return 1;
- }
-
- }
- else
- {
- if (returnDoubleMatrixToScilab(1, 0, 0, fX))
- {
- return 1;
- }
-
- if (returnDoubleMatrixToScilab(2, 1, 1, &ObjVal))
- {
- return 1;
- }
-
- if (returnIntegerMatrixToScilab(3, 1, 1, &rstatus))
- {
- return 1;
- }
- }
-
- return 0;
- }
-}
-