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+/* $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
+