Ipopt 3.11.9
matlabprogram.hpp
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1// Copyright (C) 2008 Peter Carbonetto. All Rights Reserved.
2// This code is published under the Eclipse Public License.
3//
4// Author: Peter Carbonetto
5// Dept. of Computer Science
6// University of British Columbia
7// September 25, 2008
8
9#ifndef INCLUDE_MATLABPROGRAM
10#define INCLUDE_MATLABPROGRAM
11
12#include "iterate.hpp"
13#include "options.hpp"
14#include "matlabinfo.hpp"
15#include "callbackfunctions.hpp"
16#include "IpTNLP.hpp"
17
18using Ipopt::TNLP;
23
24// Class MatlabProgram
25// -----------------------------------------------------------------
26class MatlabProgram : public TNLP {
27public:
28
29 // The constructor.
32
33 // The destructor.
34 virtual ~MatlabProgram();
35
36 // Method to return some info about the nonlinear program.
37 virtual bool get_nlp_info (int& n, int& m, int& sizeOfJ, int& sizeOfH,
38 IndexStyleEnum& indexStyle);
39
40 // Return the bounds for the problem.
41 virtual bool get_bounds_info (int n, double* lb, double* ub, int m,
42 double* cl, double* cu);
43
44 // Return the starting point for the algorithm.
45 virtual bool get_starting_point (int n, bool initializeVars, double* vars,
46 bool initializez, double* zl, double* zu,
47 int m, bool initializeLambda,
48 double* lambda);
49
50 // Compute the value of the objective.
51 virtual bool eval_f (int n, const double* vars, bool ignore, double& f);
52
53 // Compute the gradient of the objective.
54 virtual bool eval_grad_f (int n, const double* vars, bool ignore,
55 double* grad);
56
57 // Evaluate the constraint residuals.
58 virtual bool eval_g (int n, const double* vars, bool ignore, int m,
59 double* g);
60
61 // This method either returns: 1.) The structure of the Jacobian
62 // (if "Jacobian" is zero), or 2.) The values of the Jacobian (if
63 // "Jacobian" is not zero).
64 virtual bool eval_jac_g (int numVariables, const double* variables,
65 bool ignoreThis, int numConstraints,
66 int sizeOfJ, int* rows, int *cols, double* Jx);
67
68 // This method either returns: 1.) the structure of the Hessian of
69 // the Lagrangian (if "Hessian" is zero), or 2.) the values of the
70 // Hessian of the Lagrangian (if "Hesson" is not zero).
71 virtual bool eval_h (int n, const double* vars, bool ignore, double sigma,
72 int m, const double* lambda, bool ignoretoo,
73 int sizeOfH, int* rows, int* cols, double* Hx);
74
75 // This method is called when the algorithm is complete.
76 virtual void finalize_solution (SolverReturn status, int numVariables,
77 const double* variables, const double* zl,
78 const double* zu, int numConstraints,
79 const double* constraints,
80 const double* lambda, double objective,
81 const IpoptData* ip_data,
83
84 // Intermediate callback method. It is called once per iteration
85 // of the IPOPT algorithm.
86 virtual bool intermediate_callback (AlgorithmMode mode, int t, double f,
87 double inf_pr, double inf_du,
88 double mu, double d_norm,
89 double regularization_size,
90 double alpha_du, double alpha_pr,
91 int ls_trials,
92 const IpoptData* ip_data,
94
95protected:
96 const Iterate& x0; // The initial point.
97 const CallbackFunctions& funcs; // Callback routines.
98 const Options& options; // Further program info.
99 Iterate& x; // Current point.
100 MatlabInfo& info; // Info passed back to MATLAB.
101
102 // These next two members store information about the structure of
103 // the sparse Matlab matrix for the Jacobian of the constraints
104 // and the Hessian of the Lagragian.
107};
108
109#endif
AlgorithmMode
enum to indicate the mode in which the algorithm is
Number Number * g
Values of constraint at final point (output only - ignored if set to NULL)
Number Number Index m
Number of constraints.
Class for all IPOPT specific calculated quantities.
Class to organize all the data required by the algorithm.
Definition: IpIpoptData.hpp:84
Base class for all NLP's that use standard triplet matrix form and dense vectors.
Definition: IpTNLP.hpp:51
IndexStyleEnum
overload this method to return the number of variables and constraints, and the number of non-zeros i...
Definition: IpTNLP.hpp:80
SparseMatrix * J
virtual bool get_nlp_info(int &n, int &m, int &sizeOfJ, int &sizeOfH, IndexStyleEnum &indexStyle)
virtual bool get_starting_point(int n, bool initializeVars, double *vars, bool initializez, double *zl, double *zu, int m, bool initializeLambda, double *lambda)
overload this method to return the starting point.
virtual bool intermediate_callback(AlgorithmMode mode, int t, double f, double inf_pr, double inf_du, double mu, double d_norm, double regularization_size, double alpha_du, double alpha_pr, int ls_trials, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq)
Intermediate Callback method for the user.
const Iterate & x0
const Options & options
virtual bool eval_h(int n, const double *vars, bool ignore, double sigma, int m, const double *lambda, bool ignoretoo, int sizeOfH, int *rows, int *cols, double *Hx)
overload this method to return the hessian of the lagrangian.
virtual bool eval_f(int n, const double *vars, bool ignore, double &f)
overload this method to return the value of the objective function
SparseMatrix * H
MatlabInfo & info
const CallbackFunctions & funcs
MatlabProgram(const Iterate &x0, const CallbackFunctions &funcs, const Options &options, Iterate &x, MatlabInfo &info)
virtual void finalize_solution(SolverReturn status, int numVariables, const double *variables, const double *zl, const double *zu, int numConstraints, const double *constraints, const double *lambda, double objective, const IpoptData *ip_data, IpoptCalculatedQuantities *ip_cq)
virtual bool eval_jac_g(int numVariables, const double *variables, bool ignoreThis, int numConstraints, int sizeOfJ, int *rows, int *cols, double *Jx)
overload this method to return the jacobian of the constraints.
virtual bool get_bounds_info(int n, double *lb, double *ub, int m, double *cl, double *cu)
overload this method to return the information about the bound on the variables and constraints.
virtual bool eval_g(int n, const double *vars, bool ignore, int m, double *g)
overload this method to return the vector of constraint values
virtual bool eval_grad_f(int n, const double *vars, bool ignore, double *grad)
overload this method to return the vector of the gradient of the objective w.r.t.
virtual ~MatlabProgram()
SolverReturn
enum for the return from the optimize algorithm (obviously we need to add more)
Definition: IpAlgTypes.hpp:22