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// Copyright (C) 2015 - IIT Bombay - FOSSEE
//
// Author: R.Vidyadhar & Vignesh Kannan
// Organization: FOSSEE, IIT Bombay
// Email: rvidhyadar@gmail.com & vignesh2496@gmail.com
// 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
#include "sci_iofunc.hpp"
#include "IpIpoptApplication.hpp"
#include "minbndNLP.hpp"
#include <IpSolveStatistics.hpp>
extern "C"
{
#include <api_scilab.h>
#include <Scierror.h>
#include <BOOL.h>
#include <localization.h>
#include <sciprint.h>
#include <iostream>
using namespace std;
int sci_solveminbndp(char *fname)
{
using namespace Ipopt;
CheckInputArgument(pvApiCtx, 5, 5);
CheckOutputArgument(pvApiCtx, 9, 9);
// Error management variable
SciErr sciErr;
//Function pointers,lower bound and upper bound pointers
int* funptr=NULL;
int* gradhesptr=NULL;
double* varLB=NULL;
double* varUB=NULL;
// Input arguments
double *cpu_time=NULL,*max_iter=NULL,*tol_val=NULL;
static unsigned int nVars = 0,nCons = 0;
unsigned int temp1 = 0,temp2 = 0, iret = 0;
int x1_rows, x1_cols, x2_rows, x2_cols;
// Output arguments
double ObjVal=0,iteration=0,cpuTime=0,fobj_eval=0;
const double *fX = NULL,*fZl=NULL;
const double *fZu=NULL;
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;
////////// Manage the input argument //////////
//Objective Function
if(getFunctionFromScilab(1,&funptr))
{
return 1;
}
//Function for gradient and hessian
if(getFunctionFromScilab(2,&gradhesptr))
{
return 1;
}
//x1(lower bound) matrix from scilab
if(getDoubleMatrixFromScilab(3, &x1_rows, &x1_cols, &varLB))
{
return 1;
}
//x2(upper bound) matrix from scilab
if(getDoubleMatrixFromScilab(4, &x2_rows, &x2_cols, &varUB))
{
return 1;
}
//Getting number of iterations
if(getFixedSizeDoubleMatrixInList(5,2,temp1,temp2,&max_iter))
{
return 1;
}
//Getting Cpu Time
if(getFixedSizeDoubleMatrixInList(5,4,temp1,temp2,&cpu_time))
{
return 1;
}
//Getting Tolerance Value
if(getFixedSizeDoubleMatrixInList(5,6,temp1,temp2,&tol_val))
{
return 1;
}
//Initialization of parameters
nVars=x1_rows;
nCons=0;
// Starting Ipopt
SmartPtr<minbndNLP> Prob = new minbndNLP(nVars,nCons,varLB,varUB);
SmartPtr<IpoptApplication> app = IpoptApplicationFactory();
////////// Managing the parameters //////////
app->Options()->SetNumericValue("tol", *tol_val);
app->Options()->SetIntegerValue("max_iter", (int)*max_iter);
app->Options()->SetNumericValue("max_cpu_time", *cpu_time);
///////// Initialize the IpoptApplication and process the options /////////
ApplicationReturnStatus status;
status = app->Initialize();
if (status != Solve_Succeeded) {
sciprint("\n*** Error during initialization!\n");
return (int) status;
}
// Ask Ipopt to solve the problem
status = app->OptimizeTNLP((SmartPtr<TNLP>&)Prob);
//Get the solve statistics
cpuTime = app->Statistics()->TotalCPUTime();
app->Statistics()->NumberOfEvaluations(int_fobj_eval, int_constr_eval, int_fobj_grad_eval, int_constr_jac_eval, int_hess_eval);
app->Statistics()->Infeasibilities(dual_inf, constr_viol, complementarity, kkt_error);
rstatus = Prob->returnStatus();
////////// Manage the output argument //////////
fX = Prob->getX();
ObjVal = Prob->getObjVal();
iteration = (double)app->Statistics()->IterationCount();
fobj_eval=(double)int_fobj_eval;
fZl = Prob->getZl();
fZu = Prob->getZu();
if (returnDoubleMatrixToScilab(1, 1, nVars, fX))
{
return 1;
}
if (returnDoubleMatrixToScilab(2, 1, 1, &ObjVal))
{
return 1;
}
if (returnIntegerMatrixToScilab(3, 1, 1, &rstatus))
{
return 1;
}
if (returnDoubleMatrixToScilab(4, 1, 1, &iteration))
{
return 1;
}
if (returnDoubleMatrixToScilab(5, 1, 1, &cpuTime))
{
return 1;
}
if (returnDoubleMatrixToScilab(6, 1, 1, &fobj_eval))
{
return 1;
}
if (returnDoubleMatrixToScilab(7, 1, 1, &dual_inf))
{
return 1;
}
if (returnDoubleMatrixToScilab(8, 1, nVars, fZl))
{
return 1;
}
if (returnDoubleMatrixToScilab(9, 1, nVars, fZu))
{
return 1;
}
return 0;
}
}
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