summaryrefslogtreecommitdiff
path: root/thirdparty/windows/include/coin/ClpObjective.hpp
diff options
context:
space:
mode:
Diffstat (limited to 'thirdparty/windows/include/coin/ClpObjective.hpp')
-rw-r--r--thirdparty/windows/include/coin/ClpObjective.hpp134
1 files changed, 134 insertions, 0 deletions
diff --git a/thirdparty/windows/include/coin/ClpObjective.hpp b/thirdparty/windows/include/coin/ClpObjective.hpp
new file mode 100644
index 0000000..f98903a
--- /dev/null
+++ b/thirdparty/windows/include/coin/ClpObjective.hpp
@@ -0,0 +1,134 @@
+/* $Id: ClpObjective.hpp 1825 2011-11-20 16:02:57Z forrest $ */
+// Copyright (C) 2002, International Business Machines
+// Corporation and others. All Rights Reserved.
+// This code is licensed under the terms of the Eclipse Public License (EPL).
+
+#ifndef ClpObjective_H
+#define ClpObjective_H
+
+
+//#############################################################################
+class ClpSimplex;
+class ClpModel;
+
+/** Objective Abstract Base Class
+
+Abstract Base Class for describing an objective function
+
+*/
+class ClpObjective {
+
+public:
+
+ ///@name Stuff
+ //@{
+
+ /** Returns gradient. If Linear then solution may be NULL,
+ also returns an offset (to be added to current one)
+ If refresh is false then uses last solution
+ Uses model for scaling
+ includeLinear 0 - no, 1 as is, 2 as feasible
+ */
+ virtual double * gradient(const ClpSimplex * model,
+ const double * solution,
+ double & offset, bool refresh,
+ int includeLinear = 2) = 0;
+ /** Returns reduced gradient.Returns an offset (to be added to current one).
+ */
+ virtual double reducedGradient(ClpSimplex * model, double * region,
+ bool useFeasibleCosts) = 0;
+ /** Returns step length which gives minimum of objective for
+ solution + theta * change vector up to maximum theta.
+
+ arrays are numberColumns+numberRows
+ Also sets current objective, predicted and at maximumTheta
+ */
+ virtual double stepLength(ClpSimplex * model,
+ const double * solution,
+ const double * change,
+ double maximumTheta,
+ double & currentObj,
+ double & predictedObj,
+ double & thetaObj) = 0;
+ /// Return objective value (without any ClpModel offset) (model may be NULL)
+ virtual double objectiveValue(const ClpSimplex * model, const double * solution) const = 0;
+ /// Resize objective
+ virtual void resize(int newNumberColumns) = 0;
+ /// Delete columns in objective
+ virtual void deleteSome(int numberToDelete, const int * which) = 0;
+ /// Scale objective
+ virtual void reallyScale(const double * columnScale) = 0;
+ /** Given a zeroed array sets nonlinear columns to 1.
+ Returns number of nonlinear columns
+ */
+ virtual int markNonlinear(char * which);
+ /// Say we have new primal solution - so may need to recompute
+ virtual void newXValues() {}
+ //@}
+
+
+ ///@name Constructors and destructors
+ //@{
+ /// Default Constructor
+ ClpObjective();
+
+ /// Copy constructor
+ ClpObjective(const ClpObjective &);
+
+ /// Assignment operator
+ ClpObjective & operator=(const ClpObjective& rhs);
+
+ /// Destructor
+ virtual ~ClpObjective ();
+
+ /// Clone
+ virtual ClpObjective * clone() const = 0;
+ /** Subset clone. Duplicates are allowed
+ and order is as given.
+ Derived classes need not provide this as it may not always make
+ sense */
+ virtual ClpObjective * subsetClone (int numberColumns,
+ const int * whichColumns) const;
+
+ //@}
+
+ ///@name Other
+ //@{
+ /// Returns type (above 63 is extra information)
+ inline int type() const {
+ return type_;
+ }
+ /// Sets type (above 63 is extra information)
+ inline void setType(int value) {
+ type_ = value;
+ }
+ /// Whether activated
+ inline int activated() const {
+ return activated_;
+ }
+ /// Set whether activated
+ inline void setActivated(int value) {
+ activated_ = value;
+ }
+
+ /// Objective offset
+ inline double nonlinearOffset () const {
+ return offset_;
+ }
+ //@}
+
+ //---------------------------------------------------------------------------
+
+protected:
+ ///@name Protected member data
+ //@{
+ /// Value of non-linear part of objective
+ double offset_;
+ /// Type of objective - linear is 1
+ int type_;
+ /// Whether activated
+ int activated_;
+ //@}
+};
+
+#endif