ClpSimplexNonlinear.hpp
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1 /* $Id: ClpSimplexNonlinear.hpp 2025 2014-03-19 12:49:55Z forrest $ */
2 // Copyright (C) 2004, International Business Machines
3 // Corporation and others. All Rights Reserved.
4 // This code is licensed under the terms of the Eclipse Public License (EPL).
5 /*
6  Authors
7 
8  John Forrest
9 
10  */
11 #ifndef ClpSimplexNonlinear_H
12 #define ClpSimplexNonlinear_H
13 
14 class ClpNonlinearInfo;
16 class ClpConstraint;
17 
18 #include "ClpSimplexPrimal.hpp"
19 
29 
30 public:
31 
38  int primal();
44  int primalSLP(int numberPasses, double deltaTolerance,
45  int otherOptions=0);
47  int primalDualCuts(char * rowsIn, int startUp, int algorithm);
53  int primalSLP(int numberConstraints, ClpConstraint ** constraints,
54  int numberPasses, double deltaTolerance);
55 
61  void directionVector (CoinIndexedVector * longArray,
62  CoinIndexedVector * spare1, CoinIndexedVector * spare2,
63  int mode,
64  double & normFlagged, double & normUnflagged,
65  int & numberNonBasic);
67  int whileIterating (int & pivotMode);
80  int pivotColumn(CoinIndexedVector * longArray,
83  CoinIndexedVector * spare,
84  int & pivotMode,
85  double & solutionError,
86  double * array1);
96  void statusOfProblemInPrimal(int & lastCleaned, int type,
98  bool doFactorization,
99  double & bestObjectiveWhenFlagged);
112  int pivotNonlinearResult();
114 
115 };
116 #endif
117 
void directionVector(CoinIndexedVector *longArray, CoinIndexedVector *spare1, CoinIndexedVector *spare2, int mode, double &normFlagged, double &normUnflagged, int &numberNonBasic)
Creates direction vector.
int primal()
Primal algorithms for reduced gradient At present we have two algorithms:
int primalSLP(int numberPasses, double deltaTolerance, int otherOptions=0)
Primal algorithm for quadratic Using a semi-trust region approach as for pooling problem This is in b...
Constraint Abstract Base Class.
For saving extra information to see if looping.
Definition: ClpSolve.hpp:261
int algorithm() const
Current (or last) algorithm.
Definition: ClpSimplex.hpp:647
Quadratic Objective Class.
This solves non-linear LPs using the primal simplex method.
CoinIndexedVector * columnArray(int index) const
Useful column length arrays (0,1,2,3,4,5)
Definition: ClpSimplex.hpp:731
ClpSimplexProgress * progress()
For dealing with all issues of cycling etc.
int whileIterating(int &pivotMode)
Main part.
void statusOfProblemInPrimal(int &lastCleaned, int type, ClpSimplexProgress *progress, bool doFactorization, double &bestObjectiveWhenFlagged)
Refactorizes if necessary Checks if finished.
Indexed Vector.
This solves LPs using the primal simplex method.
int pivotColumn(CoinIndexedVector *longArray, CoinIndexedVector *rowArray, CoinIndexedVector *columnArray, CoinIndexedVector *spare, int &pivotMode, double &solutionError, double *array1)
longArray has direction pivotMode - 0 - use all dual infeasible variables 1 - largest dj while >= 10 ...
int pivotNonlinearResult()
Do last half of an iteration.
CoinIndexedVector * rowArray(int index) const
Useful row length arrays (0,1,2,3,4,5)
Definition: ClpSimplex.hpp:727
int primalDualCuts(char *rowsIn, int startUp, int algorithm)
May use a cut approach for solving any LP.