1 files changed, 117 insertions, 0 deletions
diff --git a/thirdparty/linux/include/coin/coin/ClpSimplexNonlinear.hpp b/thirdparty/linux/include/coin/coin/ClpSimplexNonlinear.hpp
new file mode 100644
index 0000000..6c1088b
--- /dev/null
+++ b/thirdparty/linux/include/coin/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
+