/home/coin/SVN-release/OS-2.2.0/OS/src/OSSolverInterfaces/OSLindoSolver.cpp

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00001 /* $Id: OSLindoSolver.cpp 3479 2010-04-26 07:14:52Z kmartin $ */
00018 #include "OSLindoSolver.h"
00019 #include "OSiLReader.h"
00020 #include "OSInstance.h"
00021 #include "OSFileUtil.h"
00022 #include "OSErrorClass.h"
00023 
00024 #include "OSDataStructures.h"
00025 #include "OSParameters.h" 
00026 #include "OSMathUtil.h"
00027 
00028 #include "CoinTime.hpp"
00029 
00030 
00031 #ifdef HAVE_CTIME
00032 # include <ctime>
00033 #else
00034 # ifdef HAVE_TIME_H
00035 #  include <time.h>
00036 # else
00037 #  error "don't have header file for time"
00038 # endif
00039 #endif
00040 #include <iostream>
00041 #include <sstream>
00042 #include<vector>
00043 #include <map>  
00044 
00045 using std::cout;
00046 using std::endl;
00047 using std::ostringstream;
00048 
00049 #define DEBUG
00050 #ifndef __LINDOI_H__
00051 #define __LINDOI_H__
00052 
00053 #ifdef __cplusplus
00054 extern "C" {
00055 #endif
00056 
00057 int CALLTYPE LSwriteMPIFile(pLSmodel pModel, char *pszFname);
00058 
00059 #ifdef __cplusplus
00060 }
00061 #endif
00062 
00063 #endif /* ifndef __ILINDO_H__   */
00064 
00065 #define LINDO_OP_CODE_CONVERSION \
00066         std::map<int, int> nlNodeIdxLindo;\
00067         nlNodeIdxLindo[OS_PLUS] = EP_PLUS; \
00068         nlNodeIdxLindo[OS_SUM] = EP_SUM; \
00069         nlNodeIdxLindo[OS_MINUS] = EP_MINUS; \
00070         nlNodeIdxLindo[OS_NEGATE] = EP_NEGATE; \
00071         nlNodeIdxLindo[OS_TIMES] = EP_MULTIPLY; \
00072         nlNodeIdxLindo[OS_DIVIDE] = EP_DIVIDE; \
00073         nlNodeIdxLindo[OS_POWER] = EP_POWER; \
00074         nlNodeIdxLindo[OS_SQRT] = EP_SQRT; \
00075         nlNodeIdxLindo[OS_LN] = EP_LN; \
00076         nlNodeIdxLindo[OS_EXP] = EP_EXP; \
00077         nlNodeIdxLindo[OS_NUMBER] = EP_PUSH_NUM; \
00078         nlNodeIdxLindo[OS_VARIABLE] = EP_PUSH_VAR;\
00079         nlNodeIdxLindo[OS_IF] = EP_IF; \
00080         nlNodeIdxLindo[OS_ABS] = EP_ABS; \
00081         nlNodeIdxLindo[OS_MAX] = EP_MAX; \
00082         nlNodeIdxLindo[OS_MIN] = EP_MIN; \
00083         nlNodeIdxLindo[OS_SQUARE] = EP_SQR; \
00084         nlNodeIdxLindo[OS_SIN] = EP_SIN; \
00085         nlNodeIdxLindo[OS_COS] = EP_COS; 
00086 
00087 LindoSolver::LindoSolver():
00088         m_osilreader( NULL),
00089         pEnv_( NULL), 
00090     pModel_( NULL),
00091     m_miSlackIdx( NULL),
00092     m_iNumberNewSlacks( 0),
00093         m_mdRhsValue( NULL),
00094         m_mcRowType( NULL),
00095         m_mdVarLB( NULL),
00096         m_mdVarUB( NULL),
00097         m_mdConLB( NULL),
00098         m_mdConUB( NULL),
00099         m_mmcVarName( NULL),
00100         m_msVarName( NULL),
00101         m_msConName( NULL),
00102         m_mcVarType( NULL),
00103         m_mdObjConstant( 0),
00104         osrlwriter( NULL),
00105         cpuTime( 0)
00106         
00107 {
00108 #ifdef DEBUG
00109         cout << "Lindo constructor called" << endl;
00110 #endif          
00111 osrlwriter = new OSrLWriter();}
00112 
00113 LindoSolver::~LindoSolver() {
00114 #ifdef DEBUG
00115         cout << "Lindo destructor called" << endl;
00116 #endif
00117         //delete[] m_mdRhsValue ;
00118         //delete[] m_mdVarLB ;
00119         //delete[] m_mdVarUB ;
00120         delete[] m_mmcVarName ;
00121 
00122         m_mdConLB = NULL;
00123         m_mdConUB = NULL;
00124         m_msVarName = NULL;
00125         m_mcVarType = NULL;
00126         m_mcRowType = NULL;
00127         m_msConName = NULL;
00128 #ifdef DEBUG
00129         cout << "Delete LSdelete" << endl;
00130 #endif
00131         LSdeleteEnv(&pEnv_);
00132         delete[] m_miSlackIdx;
00133     m_miSlackIdx = NULL;
00134         delete[] m_mdRhsValue; 
00135         m_mdRhsValue = NULL;
00136         delete osrlwriter;
00137         osrlwriter = NULL;
00138         delete osresult;
00139         osresult = NULL;
00140         if(m_osilreader != NULL) delete m_osilreader;
00141         m_osilreader = NULL;
00142         cout << "Lindo Solver garbage collection done" << endl;
00143 }
00144 
00145 
00146 void LindoSolver::buildSolverInstance() throw (ErrorClass) {
00147         try{
00148                 osresult = new OSResult();
00149                 if(osil.length() == 0 && osinstance == NULL) throw ErrorClass("there is no instance");
00150                 OSiLReader* osilreader = NULL;
00151                 bool newOSiLReader = false;
00152                 if(osinstance == NULL){
00153                         osilreader = new OSiLReader();
00154                         osinstance = osilreader->readOSiL( osil);
00155                         newOSiLReader = true;
00156                         
00157                 }
00158                 
00159                 OSiLWriter osilwriter;
00160 
00161                 if (osinstance->instanceData->constraints->numberOfConstraints <= 0){
00162                         std::cout << "HERE I AM 1 !!!!!!!!!!!!!!!!!!!" << std::endl;
00163                         osinstance->setConstraintNumber(1);
00164                         osinstance->addConstraint(0, "dummyConstraint", 0, 0, 0);
00165                         std::cout << "HERE I AM 2 !!!!!!!!!!!!!!!!!!!" << std::endl;
00166                 }               
00167                 //cout << osilwriter.writeOSiL( osinstance) << endl;
00168                 if(osinstance->getVariableNumber() <  0)throw ErrorClass("Cannot have a negative number of decision variables");
00169                 std::cout << "Start process variables !!!!!!!!!" << std::endl;
00170                 if( !processVariables() ) throw ErrorClass("failed processing variables");
00171                 std::cout << "Finish process variables!!!!!!" << std::endl;
00172                 std::cout << "Start process constraints" << std::endl;
00173                 if( !processConstraints() ) throw ErrorClass("failed processing constraints");
00174                 std::cout << "Finish process constraints !!!!!!!!!" << std::endl;
00175                 std::cout << "Start generateLindoModel()  !!!!!!!!!" << std::endl;
00176                 if( !generateLindoModel()) throw ErrorClass("failed generating Lindo model");
00177                 std::cout << "Finish generateLindoModel()  !!!!!!!!!" << std::endl;
00178                 if(m_iNumberNewSlacks > 0 && !addSlackVars()) throw ErrorClass("failed adding slack variables");
00179                 if( (osinstance->getNumberOfNonlinearExpressions() > 0 || osinstance->getNumberOfQuadraticTerms() > 0)
00180                         && !processNonlinearExpressions()) throw ErrorClass("failed adding nonlinear terms");
00181                 this->bCallbuildSolverInstance = true ;
00182                 //dataEchoCheck();              
00183         }
00184         catch(const ErrorClass& eclass){
00185                 std::cout << "THERE IS AN ERROR" << std::endl;
00186                 osresult->setGeneralMessage( eclass.errormsg);
00187                 osresult->setGeneralStatusType( "error");
00188                 osrl = osrlwriter->writeOSrL( osresult);
00189                 throw ErrorClass( osrl) ;
00190         }                               
00191 }//end buildSolverInstance()
00192 
00193 
00194 
00195 void LindoSolver::setSolverOptions() throw (ErrorClass) {
00196         try{
00197                 
00198         }
00199         catch(const ErrorClass& eclass){
00200                 std::cout << "THERE IS AN ERROR" << std::endl;
00201                 osresult->setGeneralMessage( eclass.errormsg);
00202                 osresult->setGeneralStatusType( "error");
00203                 osrl = osrlwriter->writeOSrL( osresult);
00204                 throw ErrorClass( osrl) ;
00205         }                               
00206 }//end setSolverOptions() 
00207 
00208  
00209 void LindoSolver::solve()  {
00210         if( this->bCallbuildSolverInstance == false) buildSolverInstance();
00211         try{
00212                 double start = CoinCpuTime();
00213                 if( optimize() != true) throw ErrorClass("problem optimizing model");
00214                 cpuTime = CoinCpuTime() - start;
00215                 osresult->setGeneralStatusType("normal");
00216                 osresult->setTime(cpuTime);
00217                 osrl = osrlwriter->writeOSrL( osresult);
00218         }
00219         catch(const ErrorClass& eclass){
00220                 osresult->setGeneralMessage( eclass.errormsg);
00221                 osresult->setGeneralStatusType( "error");
00222                 osrl = osrlwriter->writeOSrL( osresult);
00223                 //std::cout << osrl << std::endl;
00224                 throw ErrorClass( osrl) ;
00225         }
00226 }// end solve
00227 
00228 bool LindoSolver::processConstraints(){
00229         int i;
00230         m_iNumberNewSlacks = 0;
00231         try{
00232                 
00233                         
00234                 m_mdConLB = osinstance->getConstraintLowerBounds();
00235                 m_mdConUB = osinstance->getConstraintUpperBounds();
00236                 m_msConName = osinstance->getConstraintNames();
00237                 m_mdRhsValue = new double[ osinstance->getConstraintNumber()];
00238                 m_miSlackIdx = new int[ osinstance->getConstraintNumber()];
00239                 m_mcRowType = osinstance->getConstraintTypes();
00240 
00241                 for(i = 0; i < osinstance->getConstraintNumber(); i++){
00242                         switch( m_mcRowType[ i] ){
00243                                 case 'E':
00244                                 m_mdRhsValue[ i] = m_mdConUB[ i];
00245                                 //m_mdRhsValue[ i] = m_mdConUB[ i]; Kipp: get constant
00246                                 // Add method in OSInstance get constraint constant
00247                                 break;
00248                                 case 'L':
00249                                 m_mdRhsValue[ i] = m_mdConUB[ i];
00250                                 break;
00251                                 case 'G':
00252                                 m_mdRhsValue[ i] = m_mdConLB[ i];
00253                                 break;
00254                                 case 'U':
00255                                 throw ErrorClass("LINDO cannot handle unbounded constraints");
00256                                 break;
00257                                 case 'R':
00258                                 // we have a range constraint -- LINDO does not allow this -- a variable must be added later
00259                                 m_mdRhsValue[ i] = m_mdConUB[ i] ;
00260                                 m_mcRowType[ i] = 'E';
00261                                 m_miSlackIdx[ m_iNumberNewSlacks] = i;
00262                                 m_iNumberNewSlacks++;
00263                                 break;
00264                         }       
00265                 }
00266                 return true;
00267         }
00268         catch(const ErrorClass& eclass){
00269                 osresult->setGeneralMessage( eclass.errormsg);
00270                 osresult->setGeneralStatusType( "error");
00271                 osrl = osrlwriter->writeOSrL( osresult);
00272                 throw ;
00273         }
00274 } // end processConstraints
00275   //
00276 bool LindoSolver::addSlackVars(){
00277         /* the following is LINDO specific -- make up
00278         for the fact that lindo does not like upper and lower bounds on consraints
00279         this is not needed in the COIN Interface
00280         */
00281         if(m_iNumberNewSlacks <= 0) return false;
00282         int i;
00283         ostringstream varName;
00284         char* p;
00285         std::string tmpstring;
00286         char* pachVartypes = new char[m_iNumberNewSlacks];
00287         char** paszVarnames = new char*[m_iNumberNewSlacks];
00288         int* paiAcols = new int[m_iNumberNewSlacks + 1];
00289         int* pacAcols =  NULL; 
00290         double* padAcoef = new double[m_iNumberNewSlacks]; 
00291         int* paiArows = new int[m_iNumberNewSlacks];
00292         double* padC = new double[m_iNumberNewSlacks];
00293         double* padL =  NULL;
00294         double* padU = new double[m_iNumberNewSlacks];
00295         for(i = 0; i < m_iNumberNewSlacks; i++){
00296                 pachVartypes[ i] = 'C';
00297                 varName << "xyzabc_" ;
00298                 varName << i ;
00299                 varName << '\0';
00300                 tmpstring = varName.str();
00301                 p = new char[tmpstring.size() + 1]; 
00302                 strcpy(p, tmpstring.c_str());
00303                 char ch;
00304                 ch = ' ';
00305                 // a LINDO kludge
00306                 if( m_iNumberNewSlacks == 1) paszVarnames[i] = &ch;
00307                 else paszVarnames[i] = p;
00308                 varName << "";
00309                 paiAcols[ i] = i;
00310                 padAcoef[ i] = 1.0;
00311                 paiArows[ i] = m_miSlackIdx[ i];
00312                 padC[ i] = 0.0;
00313                 padU[ i] = m_mdConUB[ m_miSlackIdx[ i]] - m_mdConLB[ m_miSlackIdx[ i]]; 
00314                 if(padU[ i]  - padC[i]< 0) return false;        
00315         }
00316         paiAcols[ m_iNumberNewSlacks] = m_iNumberNewSlacks; 
00317 #ifdef DEBUG
00318         cout << "The number of new slack variables is: " << m_iNumberNewSlacks << endl;
00319         for(i = 0; i < m_iNumberNewSlacks; i++){
00320                 cout<< paszVarnames[ i] << endl;
00321         }
00322 #endif
00323 
00324         if(!LSaddVariables(pModel_, m_iNumberNewSlacks, pachVartypes, paszVarnames, paiAcols,
00325                                 pacAcols, padAcoef, paiArows, padC, padL, padU)){
00326                 if(m_iNumberNewSlacks > 0){
00327                         //
00328                         delete[] paiAcols;
00329                         delete[] padAcoef; 
00330                         delete[] paiArows;
00331                         delete[] padC;
00332                         delete[] padU;
00333                         
00334                         // another LINDO kludge
00335                         if( m_iNumberNewSlacks == 1){
00336                                 delete paszVarnames;
00337                                 delete pachVartypes;
00338                         }
00339                         else{
00340                                 for(i = 0; i < m_iNumberNewSlacks; i++) delete[] paszVarnames[i];
00341                                 delete[] paszVarnames;
00342                                 delete[] pachVartypes;
00343                         }
00344                 }
00345                 return true;
00346         }
00347         else{
00348                 return false;
00349         }
00350 } // end addSlackVars()
00351 
00352 
00353 bool LindoSolver::processVariables(){
00354         int i;
00355         try{
00356                 m_mcVarType = osinstance->getVariableTypes();   
00357                 m_mdVarLB = osinstance->getVariableLowerBounds();
00358                 m_mdVarUB  = osinstance->getVariableUpperBounds();
00359                 m_mmcVarName = new char*[ osinstance->getVariableNumber()];
00360                 for(i = 0; i < osinstance->getVariableNumber(); i++){
00361                         //p = new char[osinstance->getVariableNames()[  i].size() + 1]; 
00362                         //strcpy(p, osinstance->getVariableNames()[  i].c_str());
00363                         //m_mmcVarName[i] = p;
00364                         m_mmcVarName[i] = &osinstance->getVariableNames()[  i][0];
00365                 }
00366                 //fix for Stefan
00367                 for(i = 0; i <  osinstance->getVariableNumber() ; i++){
00368                         if(     osinstance->getVariableTypes()[ i] == 'B'){
00369                                 m_mdVarUB[ i] = 1.0;
00370                         }
00371                 }
00372                 
00373                 return true;
00374         } 
00375         catch(const ErrorClass& eclass){
00376                 osresult->setGeneralMessage( eclass.errormsg);
00377                 osresult->setGeneralStatusType( "error");
00378                 osrl = osrlwriter->writeOSrL( osresult);
00379                 throw ;
00380         }
00381 }  // end processVariables 
00382   
00383 
00384  
00385 bool LindoSolver::generateLindoModel(){ 
00386         // Generate the LINDO model   
00387         /* declare an instance of the LINDO environment object */
00388         /* >>> Step 1 <<< Create a LINDO environment. Note: 
00389     MY_LICENSE_KEY must be defined in license.h to 
00390     be the license key shipped with your software. */
00391         char *MY_LICENSE_KEY = NULL;
00392         MY_LICENSE_KEY = getenv( "LINDOAPI_LICENSE_FILE");
00393         try{
00394                 pEnv_ = LScreateEnv ( &m_iLindoErrorCode, MY_LICENSE_KEY);
00395                 lindoAPIErrorCheck("There was an Error Creating the LINDO environment");
00396                 /* >>> Step 2 <<< Create a model in the environment. */
00397                 pModel_ = LScreateModel ( pEnv_, &m_iLindoErrorCode); 
00398                 lindoAPIErrorCheck("There was an Error Creating the LINDO Model");
00399                 /* >>> Step 3 <<< Specify the model.
00400                         To specify our model, we make a call to LSloadLPData, 
00401                         passing it:
00402                         - A pointer to the model which we are specifying(pModel_)
00403                         - The number of constraints in the model
00404                         - The number of variables in the model
00405                         - The direction of the optimization (i.e. minimize or maximize)
00406                         - The value of the constant term in the objective (may be zero)
00407                         - The coefficients of the objective function
00408                         - The right-hand sides of the constraints
00409                         - The types of the constraints 
00410                         - The number of nonzeros in the constraint matrix
00411                         - The indices of the first nonzero in each column
00412                         - The length of each column
00413                         - The nonzero coefficients
00414                         - The row indices of the nonzero coefficients
00415                         - Simple upper and lower bounds on the variables
00416                         */
00417                 int *colLength = NULL;  
00418                 // Kipp: this is a kludge -- fix later
00419                 if(osinstance->getLinearConstraintCoefficientNumber()  <=  0){
00420                         cout << "LinearConstraintCoefficientNumber =  " << osinstance->getLinearConstraintCoefficientNumber() << endl;
00421                         //
00422                         int iNumFakeNonz = 1;           
00423                         // fake index array
00424                         int *paiArrayIdx;
00425                         paiArrayIdx = new int[ 1];
00426                         paiArrayIdx[ 0] = 0;
00427                         // fake nonzero array
00428                         double *padValArray;
00429                         padValArray = new double[ 1];
00430                         padValArray[0] = 0;
00431                         //
00432                         int *paiArrayBeg; 
00433                         paiArrayBeg = new int[osinstance->getVariableNumber() + 1];
00434                         paiArrayBeg[0] = 0;
00435                         for(int kl = 1; kl <= osinstance->getVariableNumber(); kl++){
00436                                 paiArrayBeg[kl] = 1;
00437                         }
00438                         //
00439                         //
00440                         m_iLindoErrorCode = LSloadLPData( pModel_, osinstance->getConstraintNumber(),  osinstance->getVariableNumber(), 
00441                                 ( osinstance->getObjectiveMaxOrMins()[0] == "min")?LS_MIN:LS_MAX , 
00442                                 osinstance->getObjectiveConstants()[0], 
00443                                 osinstance->getDenseObjectiveCoefficients()[0], 
00444                                 m_mdRhsValue, m_mcRowType, 
00445                                 iNumFakeNonz, 
00446                                 paiArrayBeg, 
00447                                 colLength,  padValArray, 
00448                                 paiArrayIdx, 
00449                                 m_mdVarLB, m_mdVarUB);  
00450                         lindoAPIErrorCheck("Error with LSloadLPData when the number of nonzeros is 0");
00451                 }
00452                 else{
00453                         m_iLindoErrorCode = LSloadLPData( pModel_, osinstance->getConstraintNumber(),  osinstance->getVariableNumber(), 
00454                                 ( osinstance->getObjectiveMaxOrMins()[0] == "min")?LS_MIN:LS_MAX , 
00455                                 osinstance->getObjectiveConstants()[0], osinstance->getDenseObjectiveCoefficients()[0], m_mdRhsValue, m_mcRowType, 
00456                                 osinstance->getLinearConstraintCoefficientNumber(), 
00457                                 osinstance->getLinearConstraintCoefficientsInColumnMajor()->starts, 
00458                                 colLength,  osinstance->getLinearConstraintCoefficientsInColumnMajor()->values, 
00459                                 osinstance->getLinearConstraintCoefficientsInColumnMajor()->indexes, 
00460                                 m_mdVarLB, m_mdVarUB);
00461                         lindoAPIErrorCheck("Error with LSloadLPData when the number of nonzeros is greater than 0");
00462                 }
00463                 m_iLindoErrorCode = LSloadVarType(pModel_, m_mcVarType);
00464                 lindoAPIErrorCheck("There was an error loading the Lindo Variable Types");              
00465                 return true;
00466         }
00467         catch( const ErrorClass& eclass){
00468                 osresult->setGeneralMessage( eclass.errormsg);
00469                 osresult->setGeneralStatusType( "error");
00470                 osrl = osrlwriter->writeOSrL( osresult);
00471                 throw ;
00472         }
00473 } // end generateLindoModel
00474   
00475 
00476 bool LindoSolver::optimize(){
00477         double *x,  *y, *z;
00478         int solIdx = 0;
00479         ostringstream outStr;
00480         std::string *srcost;
00481         bool isNonlinear = false;
00482         double *drcost;
00483         int nSolStatus;
00484         std::string description = "";   
00485         // resultHeader infomration
00486     if(osresult->setSolverInvoked( "LINDO Systems, Inc. Lindo API") != true)
00487                         throw ErrorClass("OSResult error: setSolverInvoked");
00488     if(osresult->setServiceName( getVersionInfo()) != true)
00489                         throw ErrorClass("OSResult error: setServiceName");
00490 
00491         if(osresult->setInstanceName(  osinstance->getInstanceName()) != true)
00492                 throw ErrorClass("OSResult error: setInstanceName");
00493         //if(osresult->setJobID( osresultdata->jobID) != true)
00494         //      throw ErrorClass("OSResult error: setJobID");
00495         //if(osresult->setGeneralMessage( osresultdata->message) != true)
00496         //      throw ErrorClass("OSResult error: setGeneralMessage");
00497         if(osinstance->getNumberOfNonlinearObjectives() > 0 ||  osinstance->getNumberOfNonlinearConstraints() > 0) isNonlinear = true;
00498         try{
00499                 if(osinstance->getObjectiveNumber() <= 0) throw ErrorClass("LINDO NEEDS AN OBJECTIVE FUNCTION");
00500                 //
00501                 //if(LSoptimize( pModel_, LS_METHOD_FREE, &nSolStatus) != 0)throw ErrorClass("Problem in optimize routine");
00502                 //if(LSsolveMIP( pModel_,  &nSolStatus) != 0)throw ErrorClass("Problem in optimize routine");
00503                 //LSwriteMPIFile(pModel_, "/Users/kmartin/temp/hs71.mpi"); 
00504                 // some testing // 
00505                 //cout << "NUMBER OF NEW SLACKS = " <<  m_iNumberNewSlacks << endl;
00506                 //for(int kj = 0; kj < osinstance->getConstraintNumber(); kj++){
00507                 //      cout << "Constraint Type: " << m_mcRowType[ kj] << endl;
00508                 //      cout << "RHS VALUE: " << m_mdRhsValue[ kj] << endl;
00509                 //}
00510                 //   
00511         
00512                 if( isNonlinear == true ){ 
00513                         //m_iLindoErrorCode = LSoptimize( pModel_, LS_METHOD_FREE, &nSolStatus);
00514                         std::cout << "We are using the LINDO Global Optimizer" << std::endl;
00515                         std::cout << "We are using the LINDO Global Optimizer 222" << std::endl;
00516                         m_iLindoErrorCode = LSsolveGOP(pModel_,  &nSolStatus) ;
00517                         lindoAPIErrorCheck("There was an ERROR in the call to the Optimizer solver");
00518                         LSgetInfo (pModel_, LS_IINFO_GOP_STATUS, &nSolStatus);
00519                 }
00520                 else{
00521                         std::cout << "We are using the LINDO LSsolveMIP Optimizer" << std::endl;
00522                         m_iLindoErrorCode = LSsolveMIP( pModel_,  &nSolStatus);
00523                         lindoAPIErrorCheck("There was an ERROR in the call to the MIP solver");
00524                 }
00525               /* Report the status of solution */
00526              // if (nSolStatus==LS_STATUS_OPTIMAL || nSolStatus==LS_STATUS_BASIC_OPTIMAL)
00527              // printf("\nSolution Status: Globally Optimal\n");
00528              // else if (nSolStatus==LS_STATUS_LOCAL_OPTIMAL)
00529              // printf("\nSolution Status: Locally Optimal\n\n");
00530             // else if (nSolStatus==LS_STATUS_INFEASIBLE)
00531             //  printf("\nSolution Status: Infeasible\n\n");
00532                         // set basic problem parameters
00533                 if(osresult->setVariableNumber( osinstance->getVariableNumber()) != true)
00534                         throw ErrorClass("OSResult error: setVariableNumer");
00535                 if(osresult->setObjectiveNumber( 1) != true)
00536                         throw ErrorClass("OSResult error: setObjectiveNumber");
00537                 if(osresult->setConstraintNumber( osinstance->getConstraintNumber()) != true)
00538                         throw ErrorClass("OSResult error: setConstraintNumber");
00539                 if(osresult->setSolutionNumber(  1) != true)
00540                         throw ErrorClass("OSResult error: setSolutionNumer");
00541                 cout << "Solution Status  = " <<  nSolStatus << endl;
00542                 osresult->setGeneralStatusType("normal");
00543                 osresult->setSolutionStatus(solIdx, "optimal", description);    
00544                 x = new double[ osinstance->getVariableNumber() + m_iNumberNewSlacks];
00545                 srcost = new std::string[ osinstance->getVariableNumber() + m_iNumberNewSlacks];
00546                 drcost = new double[ osinstance->getVariableNumber() + m_iNumberNewSlacks];
00547                 for(int i = 0; i <  osinstance->getVariableNumber() + m_iNumberNewSlacks; i++){
00548                         drcost[i] = 0.0;
00549                         srcost[i] = "";
00550                 }
00551                 y = new double[ osinstance->getConstraintNumber() ];
00552                 z = new double[1]; 
00553                 switch( nSolStatus){
00554                         case 1:
00555                                 // an optimal solution is found
00556                                 cout << "case 1" << endl; 
00557                         case 8:
00558                                 // a local optimal solution is found
00559                                 cout << "case 8" << endl;
00560                         case 2: 
00561                                 cout << "case 2" << endl;
00562                                 // an optimal basic  solution is also found
00563                                 // get the primal result
00564                                 if( (osinstance->getNumberOfIntegerVariables() + osinstance->getNumberOfBinaryVariables() > 0 ) 
00565                                         || (isNonlinear == false) ){
00566                                         m_iLindoErrorCode = LSgetMIPPrimalSolution( pModel_, x);  
00567                                         lindoAPIErrorCheck("Error trying to obtain primal solution with integer variables present");
00568                                 }
00569                                 else{
00570                                         m_iLindoErrorCode = LSgetPrimalSolution( pModel_, x);  
00571                                         lindoAPIErrorCheck("Error trying to obtain primal solution with NO integer variables present");
00572                                 }
00573                                 osresult->setPrimalVariableValuesDense(solIdx, x);
00574                                 // Get the dual values result
00575                                 if( (osinstance->getNumberOfIntegerVariables() + osinstance->getNumberOfBinaryVariables() > 0)
00576                                         || (isNonlinear == false) ){
00577                                         m_iLindoErrorCode = LSgetMIPDualSolution( pModel_, y);
00578                                         lindoAPIErrorCheck("Error trying to obtain dual solution with integer variables present");
00579                                 }
00580                                 else{  
00581                                         m_iLindoErrorCode = LSgetDualSolution( pModel_, y);
00582                                         lindoAPIErrorCheck("Error trying to obtain dual solution with NO integer variables present");
00583                                 }
00584                                 osresult->setDualVariableValuesDense(solIdx, y);
00585                                 // get the reduced cost result
00586                                 if( ( osinstance->getNumberOfIntegerVariables() + osinstance->getNumberOfBinaryVariables() > 0)
00587                                         || (isNonlinear == false ) ) {
00588                                         //m_iLindoErrorCode = LSgetMIPReducedCosts( pModel_, drcost); 
00589                                         //lindoAPIErrorCheck("Error trying to obtain the reduced costs with integer variables present");
00590                                 }
00591                                 else{
00592                                         m_iLindoErrorCode = LSgetReducedCosts( pModel_, drcost);
00593                                         lindoAPIErrorCheck("Error trying to obtain the reduced costs with NO integer variables present");;
00594                                 }
00595                                 // now put the reduced costs into the osrl
00596                                 {
00597                                         int numberOfOtherVariableResult = 1;
00598                                         int otherIdx = 0;
00599                                         // first set the number of Other Variable Results
00600                                         osresult->setNumberOfOtherVariableResults(solIdx, numberOfOtherVariableResult);
00601                                         for(int i = 0; i <  osinstance->getVariableNumber() + m_iNumberNewSlacks; i++){
00602                                                 outStr << drcost[i];
00603                                                 srcost[ i] = outStr.str();
00604                                                 outStr.str("");
00605                                         }
00606                                         osresult->setAnOtherVariableResultDense(solIdx, otherIdx, "reduced costs", "", "the variable reduced costs", srcost);
00607                                         /* Get the value of the objective */
00608                                         if( ( osinstance->getNumberOfIntegerVariables() + osinstance->getNumberOfBinaryVariables() > 0)
00609                                                 || (isNonlinear == false ) ) {
00610                                                 m_iLindoErrorCode = LSgetInfo( pModel_, LS_DINFO_MIP_OBJ, &z[0]);
00611                                                 lindoAPIErrorCheck("Error trying to obtain optimal objective value with integer variables present");
00612                                         }
00613                                         else{
00614                                                 LSgetInfo( pModel_, LS_DINFO_GOP_OBJ, &z[0]);
00615                                                 lindoAPIErrorCheck("Error trying to obtain optimal objective value with NO integer variables present"); 
00616                                         }       
00617                                         osresult->setObjectiveValuesDense(solIdx, z);
00618                                 }
00619                                 break;
00620                         case 3:
00621                                 osresult->setSolutionStatus(solIdx,  "infeasible", description);
00622                                 break;
00623                         case 4:
00624                                 osresult->setSolutionStatus(solIdx,  "unbounded", description);
00625                                 break;
00626                         default:
00627                                 osresult->setSolutionStatus(solIdx,  "other", description);
00628                 }
00629 
00630                 delete[] x;
00631                 delete[] y;
00632                 delete[] z;
00633                 delete[] srcost;
00634                 delete[] drcost;
00635                 return true;
00636         }
00637         catch(const ErrorClass& eclass){
00638                 
00639                 osresult->setGeneralMessage( eclass.errormsg);
00640                 osresult->setGeneralStatusType( "error");
00641                 osrl = osrlwriter->writeOSrL( osresult);
00642                 throw ;
00643         }
00644 } //end optimize
00645 
00646 
00647 bool LindoSolver::processQuadraticTerms(){
00648         int nQCnnz = osinstance->getNumberOfQuadraticTerms();
00649         cout << "WE ARE PROCESSING QUADRATIC TERMS" << endl;
00650         try{
00651                 if(nQCnnz  <= 0)return false;
00652                 std::map<std::string, double> mapQuadraticAdjustMap;
00653                 std::map<std::string, double>::iterator mapPointer;             
00654 
00655                 int i;
00656                 int iVarOneIndex, iVarTwoIndex;
00657                 int iRowIndex;
00658                 std::string sKey;
00659                 double dValue;
00660                 
00661                 int iStringPostionOne, iStringPostionTwo;                       
00662 
00663                 int* paiQCrows = osinstance->getQuadraticTerms()->rowIndexes;
00664                 int* paiQCcols1 = osinstance->getQuadraticTerms()->varOneIndexes;
00665                 int* paiQCcols2 = osinstance->getQuadraticTerms()->varTwoIndexes;
00666                 double* padQCcoef = osinstance->getQuadraticTerms()->coefficients;
00667                 std::ostringstream ostrRow, ostr1, ostr2; 
00668                 std::string sIndexRow, sIndex1, sIndex2;
00669 
00670                 for ( i = 0; i < nQCnnz; i++){
00671                  iRowIndex = paiQCrows[i];
00672                                 
00673                    if (iRowIndex >= -1){                                        
00674                         iVarOneIndex = (paiQCcols1[i] >= paiQCcols2[i])?paiQCcols2[i]:paiQCcols1[i];
00675                         iVarTwoIndex = (paiQCcols1[i] <= paiQCcols2[i])?paiQCcols2[i]:paiQCcols1[i];
00676                         ostrRow << iRowIndex; ostr2<<iVarTwoIndex; ostr1<<iVarOneIndex;
00677                         sIndexRow = ostrRow.str();sIndex2 = ostr2.str(); sIndex1 = ostr1.str();
00678 
00679                         ostrRow.str("");ostr2.str("");ostr1.str("");
00680                         
00681                         sKey = sIndexRow + "," + sIndex1 + "," + sIndex2;
00682                                 
00683                         mapPointer = mapQuadraticAdjustMap.find(sKey);  
00684                         if (mapPointer != mapQuadraticAdjustMap.end()){
00685                            dValue = mapPointer->second;
00686                            dValue += padQCcoef[i];
00687                            mapQuadraticAdjustMap[sKey] = dValue;
00688                         }
00689                         else {                                          
00690                         mapQuadraticAdjustMap[sKey] = padQCcoef[i];
00691                         }                                                               
00692                   }                                     
00693                 }
00694                                                 
00695                 int iNumberOfQuadraticTerms = 0;
00696                 for (mapPointer = mapQuadraticAdjustMap.begin();  mapPointer != mapQuadraticAdjustMap.end();                    ++mapPointer){
00697                   sKey = mapPointer->first;
00698                   dValue = mapPointer->second;
00699                   iStringPostionOne = sKey.find_first_of(',');       
00700                   iStringPostionTwo = sKey.find_last_of(',');
00701                                 
00702                   iRowIndex = atoi(sKey.substr(0, iStringPostionOne).c_str());
00703                   iVarOneIndex = atoi(sKey.substr(iStringPostionOne + 1, iStringPostionTwo).c_str());
00704                   iVarTwoIndex = atoi(sKey.substr(iStringPostionTwo + 1).c_str());
00705                                 
00706                   if ( iVarOneIndex == iVarTwoIndex){                                   
00707                         dValue *= 2;
00708                   }
00709                                 
00710                   paiQCrows[iNumberOfQuadraticTerms] = iRowIndex;
00711                   paiQCcols1[iNumberOfQuadraticTerms] = iVarOneIndex;
00712                   paiQCcols2[iNumberOfQuadraticTerms] = iVarTwoIndex;
00713                                 
00714                   padQCcoef[iNumberOfQuadraticTerms] = dValue ;//lindo' AD assumes that there is a 0.5 in front of quadratic matrix.
00715                   iNumberOfQuadraticTerms ++;
00716                 }
00717                                 
00718                 if(!LSloadQCData(pModel_, nQCnnz, paiQCrows, paiQCcols1, 
00719                         paiQCcols2, padQCcoef)) return true;
00720                 else return false;
00721         }
00722         catch(const ErrorClass& eclass){
00723                 osresult->setGeneralMessage( eclass.errormsg);
00724                 osresult->setGeneralStatusType( "error");
00725                 osrl = osrlwriter->writeOSrL( osresult);
00726                 throw ;
00727         }
00728 }  // end processQuadraticTerms
00729 
00730 
00731 
00732 bool LindoSolver::processNonlinearExpressions(){
00733 
00734         cout <<  "PROCESS NONLINEAR TERMS" << endl;
00735         osinstance->initializeNonLinearStructures( );
00736         //osinstance->addQTermsToExressionTree();
00737         cout << "The number of objectives with nonlinear terms is:  " << osinstance->getNumberOfNonlinearObjectives() << endl;
00738         cout << "The number of constraints with nonlinear terms is:  " << osinstance->getNumberOfNonlinearConstraints() << endl << endl << endl;
00739         // first convert OS numbering of operators to Lindo numbering of operators. 
00740         // this is done by the method setnlNodeIdxLindo()
00741         // execute the Macro that does the conversion between LINDO and OS op codes
00742         LINDO_OP_CODE_CONVERSION;       
00748         std::map<double, int> mapNewNumber;
00749         
00751         std::map<double, int>::iterator pos;
00752         
00758         std::vector<int> insList;
00759         
00760 
00766         std::map<int, OSExpressionTree*> allExpTrees;
00767         
00773         std::vector<OSnLNode*> postFixVec;
00774         
00776         std::map<int, OSExpressionTree*>::iterator posTree;
00777         
00787         int *piObjSense = NULL;
00788         
00792         double *padVarLowerBounds = NULL;
00793         
00797         double *padVarUpperBounds = NULL;
00798         
00800         double  *padVarval = NULL; 
00801         
00805         char *pachVarType = NULL;
00806         
00809         char *pachConType = NULL; 
00810         
00812         int iNumNonlinearNonz = 0;
00813         
00815         double *padNonlinearNonz = NULL;
00816         
00818         int iNumberOfNonlinearConstraints = osinstance->getNumberOfNonlinearConstraints();
00819         
00823         int *paiConsBegin = NULL;
00824         if(iNumberOfNonlinearConstraints > 0) paiConsBegin = new int[ iNumberOfNonlinearConstraints];
00825         
00829         int *paiConsLength = NULL;
00830         if(iNumberOfNonlinearConstraints > 0) paiConsLength = new int[ iNumberOfNonlinearConstraints];
00831         
00833         int iNumberOfNonlinearObjectives = osinstance->getNumberOfNonlinearObjectives();
00834         
00838         int *paiObjsBegin = NULL;
00839         if(iNumberOfNonlinearObjectives > 0) paiObjsBegin = new int[ iNumberOfNonlinearObjectives];
00840         
00844         int *paiObjsLength = NULL;
00845         if(iNumberOfNonlinearObjectives > 0) paiObjsLength = new int[ iNumberOfNonlinearObjectives];
00846         
00847         
00853         int iNumberOfNewVariables = 0;
00854         
00856         int *paiInsList;
00857         
00859         int iInstListLength = 0;
00860         
00862         int *paiNonlinearConIndex = NULL;
00863         if(iNumberOfNonlinearConstraints > 0) paiNonlinearConIndex = new int[ iNumberOfNonlinearConstraints];
00864         
00865         // end of local variable definition
00866         try{
00867                 int i;
00868                 // initialize constraint and objectives counters
00869                 int iCountObjs = 0;
00870                 int iCountCons = 0;
00871                 // get all of the expression trees for each constraint and objective
00872                 allExpTrees = osinstance->getAllNonlinearExpressionTreesMod();
00873                 // now use an iterator to loop over all the expression trees
00874                 for(posTree = allExpTrees.begin(); posTree != allExpTrees.end(); ++posTree){
00875                         cout << "HERE IS EXPRESSION TREE " << posTree->first << endl;
00876                         // get the expression tree and put it into a postfix vector of OSnLNodes
00877                         postFixVec = posTree->second->m_treeRoot->getPostfixFromExpressionTree();
00878                         int iVecSize = postFixVec.size();
00879                         int iNodeID;
00880                         if(iVecSize > 0){
00881                                 for(i = 0; i < iVecSize; i++){ 
00882                                         iNodeID = postFixVec[i]->inodeInt;
00883                                         switch (iNodeID){
00884                                                 case OS_SUM:  // the sum token
00885                                                         insList.push_back( nlNodeIdxLindo[ OS_SUM] );
00886                                                         insList.push_back( postFixVec[i]->inumberOfChildren);
00887                                                         cout <<  "PUSH BACK A SUM" << endl;
00888                                                         break;
00889                                                 case OS_MAX:  // the sum token
00890                                                         insList.push_back( nlNodeIdxLindo[ OS_MAX] );
00891                                                         insList.push_back( postFixVec[i]->inumberOfChildren);
00892                                                         cout <<  "PUSH BACK A MAX" << endl;
00893                                                         break;
00894                                                 case OS_PRODUCT:  // the product token
00895                                                         throw ErrorClass("Error: OS_PRODUCT operator not supported by Lindo");                                  
00896                                                         break;
00897                                                 case OS_NUMBER:  // the number token
00898                                                         OSnLNodeNumber *numNode;
00899                                                         insList.push_back( EP_PUSH_NUM );
00900                                                         numNode = (OSnLNodeNumber*)postFixVec[i];
00901                                                         pos = mapNewNumber.find( numNode->value);
00902                                                         if(pos == mapNewNumber.end() ){
00903                                                                 cout << "FOUND A NEW NUMBER  " << numNode->value << endl;
00904                                                                 insList.push_back( iNumNonlinearNonz);
00905                                                                 mapNewNumber[ numNode->value] =  iNumNonlinearNonz++;
00906                                                         }
00907                                                         else insList.push_back( pos->second);                                   
00908                                                         break;
00909                                                 case OS_VARIABLE:  // the variable token
00910                                                         OSnLNodeVariable *varNode;
00911                                                         insList.push_back( EP_PUSH_VAR );
00912                                                         varNode = (OSnLNodeVariable*)postFixVec[i];
00913                                                         insList.push_back( varNode->idx );
00914                                                         // If the variable has a coefficient other than 1 push back 
00915                                                         // that coefficient plus a multiplier
00916                                                         if(varNode->coef != 1){
00917                                                                 //push back the number
00918                                                                 insList.push_back( EP_PUSH_NUM );
00919                                                                 pos = mapNewNumber.find( varNode->coef);
00920                                                                 if(pos == mapNewNumber.end() ){
00921                                                                         cout << "FOUND A NEW NUMBER  " << varNode->coef << endl;
00922                                                                         insList.push_back( iNumNonlinearNonz);
00923                                                                         mapNewNumber[ varNode->coef] =  iNumNonlinearNonz++;
00924                                                                 }
00925                                                                 else insList.push_back( pos->second);   
00926                                                                 insList.push_back( EP_MULTIPLY);
00927                                                         }
00928                                                         break;
00929                                                 default:
00930                                                         insList.push_back( nlNodeIdxLindo[iNodeID] );
00931                                                         break;
00932                                         }
00933                                 }//end for loop over the postfix vector of OSnLNodes
00934                                 //take appropriate action depending on whether we have a nonlinear obj or constraint
00935                                 if(posTree->first < 0){
00936                                         // process an objective function
00937                                         // Kipp: what to do if more than one objective function -- issue an error
00938                                         paiObjsBegin[ iCountObjs] = iInstListLength;
00939                                         paiObjsLength[ iCountObjs] = insList.size() - iInstListLength;
00940                                         iInstListLength = insList.size();
00941                                         iCountObjs++;
00942                                 }
00943                                 else{
00944                                         // process a constraint 
00945                                         paiConsBegin[ iCountCons] = iInstListLength;
00946                                         paiConsLength[ iCountCons] = insList.size() - iInstListLength;
00947                                         paiNonlinearConIndex[ iCountCons] = posTree->first;
00948                                         cout << "CONSTRAINT ILIST LENGTH =  " << iInstListLength << endl;
00949                                         iInstListLength = insList.size();
00950                                         iCountCons++;
00951                                 }
00952                         }
00953                         postFixVec.clear();
00954                 }//end for loop over the expression trees
00955                 /* Number of real number constants */
00956                 padNonlinearNonz = new double[ iNumNonlinearNonz];
00957                 for(pos = mapNewNumber.begin(); pos != mapNewNumber.end(); ++pos){
00958                         padNonlinearNonz[ pos->second] = pos->first;
00959                         cout << "INDEX = " << pos->second  << " NUMBER = " << pos->first << endl;
00960                 }
00961                 // read instructions into a Lindo pointer
00962                 paiInsList = new int[ iInstListLength];
00963                 copy(insList.begin(), insList.end(), paiInsList);
00964 
00965                 //
00966                 // Lindo Solver variables
00967                 int nLinearz, nAutoDeriv;
00968                 /* Set linearization level, before a call to LSloadInstruct.
00969                         * If not specified, the solver will decide */
00970                 nLinearz = 1;
00971                 m_iLindoErrorCode = LSsetModelIntParameter (pModel_,
00972                         LS_IPARAM_NLP_LINEARZ, nLinearz);
00973                 lindoAPIErrorCheck("Error trying to set the LS_IPARAM_NLP_LINEARZ parameter");
00974                         
00975                 /* Set up automatic differentiation, before a call to
00976                         * LSloadInstruct. If not specified, the numerical derivative
00977                         * will be applied */
00978                 nAutoDeriv = 1;
00979                 m_iLindoErrorCode = LSsetModelIntParameter (pModel_,
00980                         LS_IPARAM_NLP_AUTODERIV, nAutoDeriv);
00981                 lindoAPIErrorCheck("Error trying to set the LS_IPARAM_NLP_AUTODERIV parameter");
00982                 #ifdef DEBUG
00983                         std::cout << "iNumberOfNonlinearConstraints=  " << iNumberOfNonlinearConstraints << std::endl;
00984                         std::cout << "iNumberOfNonlinearObjectives=  " << iNumberOfNonlinearObjectives << std::endl;
00985                         std::cout << "iNumberOfNewVariables = " << iNumberOfNewVariables << std::endl;
00986                         std::cout << "iNumNonlinearNonz =  " << iNumNonlinearNonz << std::endl;
00987                         std::cout << "piObjSense =  " << "NULL" << std::endl ;
00988                         std::cout << "pachConType =  " << "NULL" << std::endl ;
00989                         std::cout << "pachVarType =  " << "NULL" << std::endl ;
00990                         int kl;
00991                         std::cout << "Here is the instruction list" << std::endl;
00992                         for(kl = 0; kl < iInstListLength; kl++){
00993                                 cout << "instruction list num  " << paiInsList[ kl] << endl;            
00994                         }
00995                         std::cout << "Number of terms in instruction list " << iInstListLength << std::endl;
00996                         std::cout << "Here are the constraint indices " << std::endl;
00997                         for(kl = 0; kl < iNumberOfNonlinearConstraints; kl++){
00998                                 cout << "con idx  " << paiNonlinearConIndex[ kl] << endl;
00999                         }
01000                         std::cout << "Here come the nonlinear nonzeros " <<  std::endl;
01001                         for(kl = 0; kl < iNumNonlinearNonz; kl++){
01002                                 cout << "nonz value  =   " << padNonlinearNonz[ kl] << endl;
01003                         }
01004                         std::cout << "padVarval =  " << "NULL" << std::endl ;
01005                         for(kl = 0; kl < iNumberOfNonlinearObjectives; kl++){
01006                                 cout << "obj inst begin  =   " << paiObjsBegin[ kl] << endl;
01007                         }
01008                         for(kl = 0; kl < iNumberOfNonlinearObjectives; kl++){
01009                                 cout << "obj inst list length  =   " << paiObjsLength[ kl] << endl;
01010                         }
01011                         for(kl = 0; kl < iNumberOfNonlinearConstraints; kl++){
01012                                 cout << "constraint inst begin  =   " << paiConsBegin[ kl] << endl;
01013                         }
01014                         for(kl = 0; kl < iNumberOfNonlinearConstraints; kl++){
01015                                 cout << "constraints inst list length  =   " << paiConsLength[ kl] << endl;
01016                         }
01017                         std::cout << "padVarLowerBounds =  " << "NULL" << std::endl ;
01018                         std::cout << "padUpperBounds =  " << "NULL" << std::endl ;
01019                 #endif
01020                 m_iLindoErrorCode = LSaddInstruct (pModel_, iNumberOfNonlinearConstraints, 
01021                         iNumberOfNonlinearObjectives, iNumberOfNewVariables, iNumNonlinearNonz,
01022                         piObjSense, pachConType,  pachVarType, paiInsList, iInstListLength, paiNonlinearConIndex,
01023                         padNonlinearNonz, padVarval, paiObjsBegin, paiObjsLength, paiConsBegin,
01024                         paiConsLength, padVarLowerBounds, padVarUpperBounds);
01025                 lindoAPIErrorCheck("Error trying to call LSaddInstruct");
01026                 // Kipp: do some garbage collection
01027                 // get rid of the local news
01028                 //mapNewNumber.~map();
01029                 if( iNumberOfNonlinearConstraints > 0) delete[] paiConsBegin;
01030                 if( iNumberOfNonlinearConstraints > 0) delete[] paiConsLength;
01031                 if( iNumberOfNonlinearObjectives > 0) delete[] paiObjsBegin;
01032                 if( iNumberOfNonlinearObjectives > 0) delete[] paiObjsLength;
01033                 if( iNumberOfNonlinearConstraints > 0) delete[] paiNonlinearConIndex; 
01034                 if( iNumNonlinearNonz > 0) delete[] padNonlinearNonz; 
01035                 if(  iInstListLength > 0) delete[] paiInsList; 
01036                 mapNewNumber.clear();
01037                 //mapNewNumber.~map();
01038                 allExpTrees.clear();
01039                 //allExpTrees.~map();
01040                 insList.clear();
01041                 //insList.~vector<int>();
01042                 postFixVec.clear();
01043                 //postFixVec.~vector<OSnLNode*>();
01044                 return true;
01045         }
01046         catch(const ErrorClass& eclass){
01047                 osresult->setGeneralMessage( eclass.errormsg);
01048                 osresult->setGeneralStatusType( "error");
01049                 osrl = osrlwriter->writeOSrL( osresult);
01050                 throw ;
01051         }
01052 }//end processNonlinearExpressions
01053 
01054 
01055 
01056 void LindoSolver::dataEchoCheck(){
01057         int i;
01058         
01059         // print out problem parameters
01060         cout << "This is problem:  " << osinstance->getInstanceName() << endl;
01061         cout << "The problem source is:  " << osinstance->getInstanceSource() << endl;
01062         cout << "The problem description is:  " << osinstance->getInstanceDescription() << endl;
01063         cout << "number of variables = " << osinstance->getVariableNumber() << endl;
01064         cout << "number of Rows = " << osinstance->getConstraintNumber() << endl;
01065 
01066         // print out the variable information
01067         if(osinstance->getVariableNumber() > 0){
01068                 for(i = 0; i < osinstance->getVariableNumber(); i++){
01069                         if(osinstance->getVariableNames() != NULL) cout << "variable Names  " << osinstance->getVariableNames()[ i]  << endl;
01070                         if(osinstance->getVariableTypes() != NULL) cout << "variable Types  " << osinstance->getVariableTypes()[ i]  << endl;
01071                         if(osinstance->getVariableLowerBounds() != NULL) cout << "variable Lower Bounds  " << osinstance->getVariableLowerBounds()[ i]  << endl;
01072                         if(osinstance->getVariableUpperBounds() != NULL) cout << "variable Upper Bounds  " <<  osinstance->getVariableUpperBounds()[i] << endl;
01073                 }
01074         }
01075         
01076         // print out objective function information
01077         if(osinstance->getVariableNumber() > 0 || osinstance->instanceData->objectives->obj != NULL || osinstance->instanceData->objectives->numberOfObjectives > 0){
01078                 if( osinstance->getObjectiveMaxOrMins()[0] == "min")  cout <<  "problem is a minimization" << endl;
01079                 else cout <<  "problem is a maximization" << endl;
01080                 for(i = 0; i < osinstance->getVariableNumber(); i++){
01081                         cout << "OBJ COEFFICIENT =  " <<  osinstance->getDenseObjectiveCoefficients()[0][i] << endl;
01082                 }
01083         }
01084         // print out constraint information
01085         if(osinstance->getConstraintNumber() > 0){
01086                 for(i = 0; i < osinstance->getConstraintNumber(); i++){
01087                         if(osinstance->getConstraintNames() != NULL) cout << "row name = " << osinstance->getConstraintNames()[i] <<  endl;
01088                         if(osinstance->getConstraintLowerBounds() != NULL) cout << "row lower bound = " << osinstance->getConstraintLowerBounds()[i] <<  endl;
01089                         if(osinstance->getConstraintUpperBounds() != NULL) cout << "row upper bound = " << osinstance->getConstraintUpperBounds()[i] <<  endl; 
01090                 }
01091         }
01092         
01093         // print out linear constraint data
01094         cout << endl;
01095         cout << "number of nonzeros =  " << osinstance->getLinearConstraintCoefficientNumber() << endl;
01096         if(osinstance->getLinearConstraintCoefficientNumber() > 0){
01097                 for(i = 0; i <= osinstance->getVariableNumber(); i++){
01098                         cout << "Start Value =  " << osinstance->getLinearConstraintCoefficientsInColumnMajor()->starts[ i] << endl;
01099                 }
01100                 cout << endl;
01101                 for(i = 0; i < osinstance->getLinearConstraintCoefficientNumber(); i++){
01102                         cout << "Index Value =  " << osinstance->getLinearConstraintCoefficientsInColumnMajor()->indexes[i] << endl;
01103                         cout << "Nonzero Value =  " << osinstance->getLinearConstraintCoefficientsInColumnMajor()->values[i] << endl;
01104                 }
01105         }
01106         // print out quadratic data
01107         cout << "number of qterms =  " <<  osinstance->getNumberOfQuadraticTerms() << endl;
01108         for(int i = 0; i <  osinstance->getNumberOfQuadraticTerms(); i++){
01109                 cout << "Row Index = " <<  osinstance->getQuadraticTerms()->rowIndexes[i] << endl;
01110                 cout << "Var Index 1 = " << osinstance->getQuadraticTerms()->varOneIndexes[ i] << endl;
01111                 cout << "Var Index 2 = " << osinstance->getQuadraticTerms()->varTwoIndexes[ i] << endl;
01112                 cout << "Coefficient = " << osinstance->getQuadraticTerms()->coefficients[ i] << endl;
01113         }
01114         
01115 } // end dataEchoCheck
01116 
01117 void  LindoSolver::lindoAPIErrorCheck(std::string errormsg) {
01118         try{
01119                 ostringstream outStr;
01120                 std::string error = errormsg;
01121                 char lindoerrormsg[LS_MAX_ERROR_MESSAGE_LENGTH];
01122                 if(m_iLindoErrorCode != 0){
01123                         outStr << endl;
01124                         error = "LINDO ERROR: "+ error;
01125                         outStr << error << endl;
01126                         outStr << "LINDO ERROR NUMBER: " << m_iLindoErrorCode << endl;  
01127                         if( pEnv_ != NULL) LSgetErrorMessage(pEnv_, m_iLindoErrorCode, lindoerrormsg);  
01128                         error = lindoerrormsg;
01129                         outStr << "LINDO ERROR MESSAGE: "  <<  error;
01130                         outStr << endl;
01131                         error = outStr.str();
01132                         throw ErrorClass( error);
01133                 }
01134         }
01135                 catch(const ErrorClass& eclass){
01136                 throw ErrorClass( eclass.errormsg);
01137         }
01138 }// end lindoAPIErrorCheck
01139 
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01144 

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