/usr/include/coin/CbcTree.hpp is in coinor-libcbc-dev 2.5.0-2.3.
This file is owned by root:root, with mode 0o644.
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// Copyright (C) 2004, International Business Machines
// Corporation and others. All Rights Reserved.
#ifndef CbcTree_H
#define CbcTree_H
#include <vector>
#include <algorithm>
#include <cmath>
#include "CoinFinite.hpp"
#include "CoinHelperFunctions.hpp"
#include "CbcCompare.hpp"
/*! \class tree
\brief Implementation of live set as a heap.
This class is used to hold the set of live nodes in the search tree.
*/
//#define CBC_DUBIOUS_HEAP
#if defined(_MSC_VER) || defined(__MNO_CYGWIN)
//#define CBC_DUBIOUS_HEAP
#endif
#ifndef CBC_DUBIOUS_HEAP
class CbcTree {
public:
// Default Constructor
CbcTree ();
// Copy constructor
CbcTree ( const CbcTree & rhs);
// = operator
CbcTree & operator=(const CbcTree & rhs);
virtual ~CbcTree();
/// Clone
virtual CbcTree * clone() const;
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * ) {}
/*! \name Heap access and maintenance methods */
//@{
/// Set comparison function and resort heap
void setComparison(CbcCompareBase &compare);
/// Return the top node of the heap
virtual CbcNode * top() const;
/// Add a node to the heap
virtual void push(CbcNode * x);
/// Remove the top node from the heap
virtual void pop() ;
/// Gets best node and takes off heap
virtual CbcNode * bestNode(double cutoff);
//@}
/*! \name vector methods */
//@{
/// Test if empty *** note may be overridden
virtual bool empty() ;
/// Return size
virtual int size() const {
return nodes_.size();
}
/// [] operator
inline CbcNode * operator [] (int i) const {
return nodes_[i];
}
/// Return a node pointer
inline CbcNode * nodePointer (int i) const {
return nodes_[i];
}
//@}
/*! \name Search tree maintenance */
//@{
/*! \brief Prune the tree using an objective function cutoff
This routine removes all nodes with objective worst than the
specified cutoff value.
It also sets bestPossibleObjective to best
of all on tree before deleting.
*/
virtual void cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective);
/// Get best on list using alternate method
CbcNode * bestAlternate();
/// We may have got an intelligent tree so give it one more chance
virtual void endSearch() {}
/// Get best possible objective function in the tree
virtual double getBestPossibleObjective();
/// Reset maximum node number
inline void resetNodeNumbers() {
maximumNodeNumber_ = 0;
}
/// Get maximum node number
inline int maximumNodeNumber() const {
return maximumNodeNumber_;
}
/// Set number of branches
inline void setNumberBranching(int value) {
numberBranching_ = value;
}
/// Get number of branches
inline int getNumberBranching() const {
return numberBranching_;
}
/// Set maximum branches
inline void setMaximumBranching(int value) {
maximumBranching_ = value;
}
/// Get maximum branches
inline int getMaximumBranching() const {
return maximumBranching_;
}
/// Get branched variables
inline unsigned int * branched() const {
return branched_;
}
/// Get bounds
inline int * newBounds() const {
return newBound_;
}
/// Adds branching information to complete state
void addBranchingInformation(const CbcModel * model, const CbcNodeInfo * nodeInfo,
const double * currentLower,
const double * currentUpper);
/// Increase space for data
void increaseSpace();
//@}
protected:
std::vector <CbcNode *> nodes_;
CbcCompare comparison_; ///> Sort function for heap ordering.
/// Maximum "node" number so far to split ties
int maximumNodeNumber_;
/// Size of variable list
int numberBranching_;
/// Maximum size of variable list
int maximumBranching_;
/** Integer variables branched or bounded
top bit set if new upper bound
next bit set if a branch
*/
unsigned int * branched_;
/// New bound
int * newBound_;
};
/*! \class tree
\brief Implementation of live set as a managed array.
This class is used to hold the set of live nodes in the search tree.
*/
#ifdef JJF_ZERO // not used
class CbcTreeArray : public CbcTree {
public:
// Default Constructor
CbcTreeArray ();
// Copy constructor
CbcTreeArray ( const CbcTreeArray & rhs);
// = operator
CbcTreeArray & operator=(const CbcTreeArray & rhs);
virtual ~CbcTreeArray();
/// Clone
virtual CbcTree * clone() const;
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * ) {}
/*! \name Heap access and maintenance methods */
//@{
/// Set comparison function and resort heap
void setComparison(CbcCompareBase &compare);
/// Add a node to the heap
virtual void push(CbcNode * x);
/// Gets best node and takes off heap
virtual CbcNode * bestNode(double cutoff);
//@}
/*! \name vector methods */
//@{
/// Test if empty *** note may be overridden
virtual bool empty() ;
//@}
/*! \name Search tree maintenance */
//@{
/*! \brief Prune the tree using an objective function cutoff
This routine removes all nodes with objective worst than the
specified cutoff value.
It also sets bestPossibleObjective to best
of all on tree before deleting.
*/
void cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective);
/// Get best possible objective function in the tree
virtual double getBestPossibleObjective();
//@}
protected:
/// Returns
/// Last node
CbcNode * lastNode_;
/// Last node popped
CbcNode * lastNodePopped_;
/// Not used yet
int switches_;
};
/// New style
#include "CoinSearchTree.hpp"
/*! \class tree
\brief Implementation of live set as a heap.
This class is used to hold the set of live nodes in the search tree.
*/
class CbcNewTree : public CbcTree, public CoinSearchTreeManager {
public:
// Default Constructor
CbcNewTree ();
// Copy constructor
CbcNewTree ( const CbcNewTree & rhs);
// = operator
CbcNewTree & operator=(const CbcNewTree & rhs);
virtual ~CbcNewTree();
/// Clone
virtual CbcNewTree * clone() const;
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * ) {}
/*! \name Heap access and maintenance methods */
//@{
/// Set comparison function and resort heap
void setComparison(CbcCompareBase &compare);
/// Return the top node of the heap
virtual CbcNode * top() const;
/// Add a node to the heap
virtual void push(CbcNode * x);
/// Remove the top node from the heap
virtual void pop() ;
/// Gets best node and takes off heap
virtual CbcNode * bestNode(double cutoff);
//@}
/*! \name vector methods */
//@{
/// Test if empty *** note may be overridden
virtual bool empty() ;
/// Return size
inline int size() const {
return nodes_.size();
}
/// [] operator
inline CbcNode * operator [] (int i) const {
return nodes_[i];
}
/// Return a node pointer
inline CbcNode * nodePointer (int i) const {
return nodes_[i];
}
//@}
/*! \name Search tree maintenance */
//@{
/*! \brief Prune the tree using an objective function cutoff
This routine removes all nodes with objective worst than the
specified cutoff value.
It also sets bestPossibleObjective to best
of all on tree before deleting.
*/
void cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective);
/// Get best on list using alternate method
CbcNode * bestAlternate();
/// We may have got an intelligent tree so give it one more chance
virtual void endSearch() {}
//@}
protected:
};
#endif
#else
class CbcTree {
public:
// Default Constructor
CbcTree ();
// Copy constructor
CbcTree ( const CbcTree & rhs);
// = operator
CbcTree & operator=(const CbcTree & rhs);
virtual ~CbcTree();
/// Clone
virtual CbcTree * clone() const;
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * fp) {}
/*! \name Heap access and maintenance methods */
//@{
/// Set comparison function and resort heap
void setComparison(CbcCompareBase &compare);
/// Return the top node of the heap
virtual CbcNode * top() const;
/// Add a node to the heap
virtual void push(CbcNode * x);
/// Remove the top node from the heap
virtual void pop() ;
/// Gets best node and takes off heap
virtual CbcNode * bestNode(double cutoff);
//@}
/*! \name vector methods */
//@{
/// Test if empty *** note may be overridden
//virtual bool empty() ;
/// Return size
inline int size() const {
return nodes_.size();
}
/// [] operator
inline CbcNode * operator [] (int i) const {
return nodes_[i];
}
/// Return a node pointer
inline CbcNode * nodePointer (int i) const {
return nodes_[i];
}
virtual bool empty();
//inline int size() const { return size_; }
void realpop();
/** After changing data in the top node, fix the heap */
void fixTop();
void realpush(CbcNode * node);
//@}
/*! \name Search tree maintenance */
//@{
/*! \brief Prune the tree using an objective function cutoff
This routine removes all nodes with objective worst than the
specified cutoff value.
It also sets bestPossibleObjective to best
of all on tree before deleting.
*/
void cleanTree(CbcModel * model, double cutoff, double & bestPossibleObjective);
/// Get best on list using alternate method
CbcNode * bestAlternate();
/// We may have got an intelligent tree so give it one more chance
virtual void endSearch() {}
/// Reset maximum node number
inline void resetNodeNumbers() {
maximumNodeNumber_ = 0;
}
//@}
protected:
std::vector <CbcNode *> nodes_;
CbcCompare comparison_; ///> Sort function for heap ordering.
/// Maximum "node" number so far to split ties
int maximumNodeNumber_;
};
#endif
#endif
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