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ClpSimplexNonlinear.hpp
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1 /* $Id: ClpSimplexNonlinear.hpp 2385 2019-01-06 19:43:06Z unxusr $ */
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:
37  int primal();
43  int primalSLP(int numberPasses, double deltaTolerance,
44  int otherOptions = 0);
46  int primalDualCuts(char *rowsIn, int startUp, int algorithm);
52  int primalSLP(int numberConstraints, ClpConstraint **constraints,
53  int numberPasses, double deltaTolerance);
54 
60  void directionVector(CoinIndexedVector *longArray,
61  CoinIndexedVector *spare1, CoinIndexedVector *spare2,
62  int mode,
63  double &normFlagged, double &normUnflagged,
64  int &numberNonBasic);
66  int whileIterating(int &pivotMode);
79  int pivotColumn(CoinIndexedVector *longArray,
82  CoinIndexedVector *spare,
83  int &pivotMode,
84  double &solutionError,
85  double *array1);
95  void statusOfProblemInPrimal(int &lastCleaned, int type,
97  bool doFactorization,
98  double &bestObjectiveWhenFlagged);
111  int pivotNonlinearResult();
113 };
114 #endif
115 
116 /* vi: softtabstop=2 shiftwidth=2 expandtab tabstop=2
117 */
int pivotNonlinearResult()
Do last half of an iteration.
void statusOfProblemInPrimal(int &lastCleaned, int type, ClpSimplexProgress *progress, bool doFactorization, double &bestObjectiveWhenFlagged)
Refactorizes if necessary Checks if finished.
void directionVector(CoinIndexedVector *longArray, CoinIndexedVector *spare1, CoinIndexedVector *spare2, int mode, double &normFlagged, double &normUnflagged, int &numberNonBasic)
Creates direction vector.
Quadratic Objective Class.
Constraint Abstract Base Class.
For saving extra information to see if looping.
Definition: ClpSolve.hpp:310
int primal()
Primal algorithms for reduced gradient At present we have two algorithms:
Indexed Vector.
int algorithm() const
Current (or last) algorithm.
Definition: ClpSimplex.hpp:720
CoinIndexedVector * columnArray(int index) const
Useful column length arrays (0,1,2,3,4,5)
Definition: ClpSimplex.hpp:820
int whileIterating(int &pivotMode)
Main part.
ClpSimplexProgress * progress()
For dealing with all issues of cycling etc.
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...
CoinIndexedVector * rowArray(int index) const
Useful row length arrays (0,1,2,3,4,5)
Definition: ClpSimplex.hpp:815
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 primalDualCuts(char *rowsIn, int startUp, int algorithm)
May use a cut approach for solving any LP.
This solves LPs using the primal simplex method.
This solves non-linear LPs using the primal simplex method.