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Diffstat (limited to 'newstructure/thirdparty/linux/include/coin/ClpSimplexNonlinear.hpp')
-rw-r--r-- | newstructure/thirdparty/linux/include/coin/ClpSimplexNonlinear.hpp | 117 |
1 files changed, 117 insertions, 0 deletions
diff --git a/newstructure/thirdparty/linux/include/coin/ClpSimplexNonlinear.hpp b/newstructure/thirdparty/linux/include/coin/ClpSimplexNonlinear.hpp new file mode 100644 index 0000000..6c1088b --- /dev/null +++ b/newstructure/thirdparty/linux/include/coin/ClpSimplexNonlinear.hpp @@ -0,0 +1,117 @@ +/* $Id: ClpSimplexNonlinear.hpp 2025 2014-03-19 12:49:55Z forrest $ */ +// Copyright (C) 2004, International Business Machines +// Corporation and others. All Rights Reserved. +// This code is licensed under the terms of the Eclipse Public License (EPL). +/* + Authors + + John Forrest + + */ +#ifndef ClpSimplexNonlinear_H +#define ClpSimplexNonlinear_H + +class ClpNonlinearInfo; +class ClpQuadraticObjective; +class ClpConstraint; + +#include "ClpSimplexPrimal.hpp" + +/** This solves non-linear LPs using the primal simplex method + + It inherits from ClpSimplexPrimal. It has no data of its own and + is never created - only cast from a ClpSimplexPrimal object at algorithm time. + If needed create new class and pass around + +*/ + +class ClpSimplexNonlinear : public ClpSimplexPrimal { + +public: + + /**@name Description of algorithm */ + //@{ + /** Primal algorithms for reduced gradient + At present we have two algorithms: + + */ + /// A reduced gradient method. + int primal(); + /** Primal algorithm for quadratic + Using a semi-trust region approach as for pooling problem + This is in because I have it lying around + */ + int primalSLP(int numberPasses, double deltaTolerance, + int otherOptions=0); + /// May use a cut approach for solving any LP + int primalDualCuts(char * rowsIn, int startUp, int algorithm); + /** Primal algorithm for nonlinear constraints + Using a semi-trust region approach as for pooling problem + This is in because I have it lying around + + */ + int primalSLP(int numberConstraints, ClpConstraint ** constraints, + int numberPasses, double deltaTolerance); + + /** Creates direction vector. note longArray is long enough + for rows and columns. If numberNonBasic 0 then is updated + otherwise mode is ignored and those are used. + Norms are only for those > 1.0e3*dualTolerance + If mode is nonzero then just largest dj */ + void directionVector (CoinIndexedVector * longArray, + CoinIndexedVector * spare1, CoinIndexedVector * spare2, + int mode, + double & normFlagged, double & normUnflagged, + int & numberNonBasic); + /// Main part. + int whileIterating (int & pivotMode); + /** + longArray has direction + pivotMode - + 0 - use all dual infeasible variables + 1 - largest dj + while >= 10 trying startup phase + Returns 0 - can do normal iteration (basis change) + 1 - no basis change + 2 - if wants singleton + 3 - if time to re-factorize + If sequenceIn_ >=0 then that will be incoming variable + */ + int pivotColumn(CoinIndexedVector * longArray, + CoinIndexedVector * rowArray, + CoinIndexedVector * columnArray, + CoinIndexedVector * spare, + int & pivotMode, + double & solutionError, + double * array1); + /** Refactorizes if necessary + Checks if finished. Updates status. + lastCleaned refers to iteration at which some objective/feasibility + cleaning too place. + + type - 0 initial so set up save arrays etc + - 1 normal -if good update save + - 2 restoring from saved + */ + void statusOfProblemInPrimal(int & lastCleaned, int type, + ClpSimplexProgress * progress, + bool doFactorization, + double & bestObjectiveWhenFlagged); + /** Do last half of an iteration. + Return codes + Reasons to come out normal mode + -1 normal + -2 factorize now - good iteration + -3 slight inaccuracy - refactorize - iteration done + -4 inaccuracy - refactorize - no iteration + -5 something flagged - go round again + +2 looks unbounded + +3 max iterations (iteration done) + + */ + int pivotNonlinearResult(); + //@} + +}; +#endif + |