C++ SmartPtr::RethrowNonIpoptException方法代码示例

int main(int argv, char* argc[])
{
  // Create a new instance of your nlp
  //  (use a SmartPtr, not raw)
  SmartPtr<TNLP> mynlp = new HS071_NLP();

  // Create a new instance of IpoptApplication
  //  (use a SmartPtr, not raw)
  // We are using the factory, since this allows us to compile this
  // example with an Ipopt Windows DLL
  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.
  app->Options()->SetNumericValue("tol", 1e-7);
  app->Options()->SetStringValue("mu_strategy", "adaptive");
  app->Options()->SetStringValue("output_file", "ipopt.out");
  // The following overwrites the default name (ipopt.opt) of the
  // options file
  // app->Options()->SetStringValue("option_file_name", "hs071.opt");

  // Initialize the IpoptApplication and process the options
  ApplicationReturnStatus status;
  status = app->Initialize();
  if (status != Solve_Succeeded) {
    std::cout << std::endl << std::endl << "*** Error during initialization!" << std::endl;
    return (int) status;
  }

  // Ask Ipopt to solve the problem
  status = app->OptimizeTNLP(mynlp);

  if (status == Solve_Succeeded) {
    std::cout << std::endl << std::endl << "*** The problem solved!" << std::endl;
  }
  else {
    std::cout << std::endl << std::endl << "*** The problem FAILED!" << std::endl;
  }

  // As the SmartPtrs go out of scope, the reference count
  // will be decremented and the objects will automatically
  // be deleted.

  return (int) status;
}

int loadProblem(char *fname,unsigned long len ){
	
	CheckInputArgument(pvApiCtx, 9, 9); // We need total 9 input arguments.
	CheckOutputArgument(pvApiCtx, 1, 1); // Return value will be termination status (0 for no-errors and 1/non-zero for errors)


	double *QItems=NULL,*PItems=NULL,*ConItems=NULL,*conUB=NULL,*conLB=NULL,*varUB=NULL,*varLB=NULL;
	unsigned int nVars,nCons;


	unsigned int arg = 1,temp1,temp2;

	if ( !getIntFromScilab(arg,&nVars) && arg++ && !getIntFromScilab(arg,&nCons) && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&QItems) && temp1 == nVars && temp2 == nVars && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&PItems) && temp2 == nVars && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&ConItems) && temp1 == nCons &&((nCons !=0 && temp2 == nVars)||(temp2==0)) && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&conLB)  && temp2 == nCons && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&conUB)  && temp2 == nCons && arg++ &&
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&varLB) && temp2 == nVars && arg++ && 
		!getDoubleMatrixFromScilab(arg,&temp1,&temp2,&varUB) && temp2 == nVars){



		using namespace Ipopt;
		SmartPtr<TNLP> Prob = new QuadNLP(nVars,nCons,QItems,PItems,ConItems,conUB,conLB,varUB,varLB);
		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.
		app->Options()->SetNumericValue("tol", 1e-7);
		app->Options()->SetStringValue("mu_strategy", "adaptive");
		app->Options()->SetStringValue("output_file", "ipopt.out");

		// Indicates whether all equality constraints are linear 
		app->Options()->SetStringValue("jac_c_constant", "yes");
		// Indicates whether all inequality constraints are linear 
		app->Options()->SetStringValue("jac_d_constant", "yes");	
		// Indicates whether the problem is a quadratic problem 
		app->Options()->SetStringValue("hessian_constant", "yes");


		// The following overwrites the default name (ipopt.opt) of the
		// options file
		// app->Options()->SetStringValue("option_file_name", "hs071.opt");
	
		// Initialize the IpoptApplication and process the options
		ApplicationReturnStatus status;
	 	status = app->Initialize();
		if (status != Solve_Succeeded) {
		  	sciprint("\n*** Error during initialization!\n");
			return0toScilab();
	   	 return (int) status;
	 	 }
		 // Ask Ipopt to solve the problem
		 status = app->OptimizeTNLP(Prob);
	
 		if (status == Solve_Succeeded) {
   			sciprint("\n*** The problem solved!\n");
 			 }
  		else {
    			sciprint( "\n*** The problem FAILED!\n");
  			}
	
  		// As the SmartPtrs go out of scope, the reference count
  		// will be decremented and the objects will automatically
  		// be deleted.
	

		}
	else {

		sciprint("\nError:: check argument %d\n",arg);
		return0toScilab();
		return 1;
		}
		
	return0toScilab();
	}

int main(int argc, char**args)
{
  using namespace Ipopt;

  SmartPtr<IpoptApplication> app = IpoptApplicationFactory();
  app->RethrowNonIpoptException(false);

  // Check if executable is run only to print out options documentation
  if (argc == 2) {
    bool print_options = false;
    bool print_latex_options = false;
    if (!strcmp(args[1],"--print-options")) {
      print_options = true;
    }
    else if (!strcmp(args[1],"--print-latex-options")) {
      print_options = true;
      print_latex_options = true;
    }
    if (print_options) {
      SmartPtr<OptionsList> options = app->Options();
      options->SetStringValue("print_options_documentation", "yes");
      if (print_latex_options) {
        options->SetStringValue("print_options_latex_mode", "yes");
      }
      app->Initialize("");
      return 0;
    }
  }

  // Call Initialize the first time to create a journalist, but ignore
  // any options file
  ApplicationReturnStatus retval;
  retval = app->Initialize("");
  if (retval != Solve_Succeeded) {
    printf("ampl_ipopt.cpp: Error in first Initialize!!!!\n");
    exit(-100);
  }

  // Add the suffix handler for scaling
  SmartPtr<AmplSuffixHandler> suffix_handler = new AmplSuffixHandler();
  suffix_handler->AddAvailableSuffix("scaling_factor", AmplSuffixHandler::Variable_Source, AmplSuffixHandler::Number_Type);
  suffix_handler->AddAvailableSuffix("scaling_factor", AmplSuffixHandler::Constraint_Source, AmplSuffixHandler::Number_Type);
  suffix_handler->AddAvailableSuffix("scaling_factor", AmplSuffixHandler::Objective_Source, AmplSuffixHandler::Number_Type);
  // Modified for warm-start from AMPL
  suffix_handler->AddAvailableSuffix("ipopt_zL_out", AmplSuffixHandler::Variable_Source, AmplSuffixHandler::Number_Type);
  suffix_handler->AddAvailableSuffix("ipopt_zU_out", AmplSuffixHandler::Variable_Source, AmplSuffixHandler::Number_Type);
  suffix_handler->AddAvailableSuffix("ipopt_zL_in", AmplSuffixHandler::Variable_Source, AmplSuffixHandler::Number_Type);
  suffix_handler->AddAvailableSuffix("ipopt_zU_in", AmplSuffixHandler::Variable_Source, AmplSuffixHandler::Number_Type);

  SmartPtr<TNLP> ampl_tnlp = new AmplTNLP(ConstPtr(app->Jnlst()),
                                          app->Options(),
                                          args, suffix_handler);

  // Call Initialize again to process output related options
  retval = app->Initialize();
  if (retval != Solve_Succeeded) {
    printf("ampl_ipopt.cpp: Error in second Initialize!!!!\n");
    exit(-101);
  }

  const int n_loops = 1; // make larger for profiling
  for (Index i=0; i<n_loops; i++) {
    retval = app->OptimizeTNLP(ampl_tnlp);
  }

  // finalize_solution method in AmplTNLP writes the solution file

  return 0;
}