/* $Id: CbcTree.hpp 1943 2013-07-21 09:05:45Z 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 #include #include #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(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_; } /// Last objective in branch-and-cut search tree inline double lastObjective() const { return lastObjective_; } /// Last depth in branch-and-cut search tree inline int lastDepth() const { return lastDepth_; } /// Last number of objects unsatisfied inline int lastUnsatisfied() const { return lastUnsatisfied_; } /// 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 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_; /// Objective of last node pushed on tree double lastObjective_; /// Depth of last node pushed on tree int lastDepth_; /// Number unsatisfied of last node pushed on tree int lastUnsatisfied_; /** 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 nodes_; CbcCompare comparison_; ///> Sort function for heap ordering. /// Maximum "node" number so far to split ties int maximumNodeNumber_; }; #endif #endif