limp-cbc-0.3.2.0: cbits/coin/CbcTree.hpp
/* $Id: CbcTree.hpp 1813 2012-11-22 19:00:22Z 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).
#ifndef CbcTree_H
#define CbcTree_H
#include <vector>
#include <algorithm>
#include <cmath>
#include "CoinHelperFunctions.hpp"
#include "CbcCompare.hpp"
/*! \brief Using MS heap implementation
It's unclear if this is needed any longer, or even if it should be allowed.
Cbc occasionally tries to do things to the tree (typically tweaking the
comparison predicate) that can cause a violation of the heap property (parent better
than either child). In a debug build, Microsoft's heap implementation does checks that
detect this and fail. This symbol switched to an alternate implementation of CbcTree,
and there are clearly differences, but no explanation as to why or what for.
As of 100921, the code is cleaned up to make it through `cbc -unitTest' without
triggering `Invalid heap' in an MSVS debug build. The method validateHeap() can
be used for debugging if this turns up again.
*/
//#define CBC_DUBIOUS_HEAP
#if defined(_MSC_VER) || defined(__MNO_CYGWIN)
//#define CBC_DUBIOUS_HEAP
#endif
#if 1 //ndef CBC_DUBIOUS_HEAP
/*! \brief Controls search tree debugging
In order to have validateHeap() available, set CBC_DEBUG_HEAP
to 1 or higher.
- 1 calls validateHeap() after each change to the heap
- 2 will print a line for major operations (clean, set comparison, etc.)
- 3 will print information about each push and pop
#define CBC_DEBUG_HEAP 1
*/
/*! \class CbcTree
\brief Implementation of the live set as a heap.
This class is used to hold the set of live nodes in the search tree.
*/
class CbcTree {
public:
/*! \name Constructors and related */
//@{
/// Default Constructor
CbcTree ();
/// Copy constructor
CbcTree (const CbcTree &rhs);
/// = operator
CbcTree & operator=(const CbcTree &rhs);
/// Destructor
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() ;
/*! \brief Gets best node and takes off heap
Before returning the node from the top of the heap, the node
is offered an opportunity to reevaluate itself. Callers should
be prepared to check that the node returned is suitable for use.
*/
virtual CbcNode * bestNode(double cutoff);
/*! \brief Rebuild the heap */
virtual void rebuild() ;
//@}
/*! \name Direct node access methods */
//@{
/// Test for an empty tree
virtual bool empty() ;
/// Return size
virtual int size() const { return static_cast<int>(nodes_.size()); }
/// Return a node pointer
inline CbcNode * operator [] (int i) const { return nodes_[i]; }
/// Return a node pointer
inline CbcNode * nodePointer (int i) const { return nodes_[i]; }
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 worse than the
specified cutoff value. It also sets bestPossibleObjective to
the best objective over remaining nodes.
*/
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();
//@}
# if CBC_DEBUG_HEAP > 0
/*! \name Debugging methods */
//@{
/*! \brief Check that the heap property is satisfied. */
void validateHeap() ;
//@}
# endif
protected:
/// Storage vector for the heap
std::vector <CbcNode *> nodes_;
/// Sort predicate for heap ordering.
CbcCompare comparison_;
/// 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_;
};
#ifdef JJF_ZERO // not used
/*! \brief Implementation of live set as a managed array.
This class is used to hold the set of live nodes in the search tree.
*/
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
/* CBC_DUBIOUS_HEAP is defined
See note at top of file. This code is highly suspect.
-- lh, 100921 --
*/
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;
}
/// Get maximum node number
inline int maximumNodeNumber() const { return maximumNodeNumber_; }
//@}
protected:
std::vector <CbcNode *> nodes_;
CbcCompare comparison_; ///> Sort function for heap ordering.
/// Maximum "node" number so far to split ties
int maximumNodeNumber_;
};
#endif
#endif