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/* -*- mode: C++; indent-tabs-mode: nil; -*-
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*
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* This file is a part of LEMON, a generic C++ optimization library.
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*
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* Copyright (C) 2003-2009
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* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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* (Egervary Research Group on Combinatorial Optimization, EGRES).
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*
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* Permission to use, modify and distribute this software is granted
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* provided that this copyright notice appears in all copies. For
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* precise terms see the accompanying LICENSE file.
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*
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* This software is provided "AS IS" with no warranty of any kind,
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* express or implied, and with no claim as to its suitability for any
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* purpose.
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*
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*/
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#ifndef LEMON_BINOM_HEAP_H
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#define LEMON_BINOM_HEAP_H
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///\file
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///\ingroup heaps
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///\brief Binomial Heap implementation.
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#include <vector>
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#include <utility>
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#include <functional>
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#include <lemon/math.h>
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#include <lemon/counter.h>
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namespace lemon {
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/// \ingroup heaps
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///
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///\brief Binomial heap data structure.
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///
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/// This class implements the \e binomial \e heap data structure.
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/// It fully conforms to the \ref concepts::Heap "heap concept".
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///
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/// The methods \ref increase() and \ref erase() are not efficient
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/// in a binomial heap. In case of many calls of these operations,
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/// it is better to use other heap structure, e.g. \ref BinHeap
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/// "binary heap".
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///
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/// \tparam PR Type of the priorities of the items.
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/// \tparam IM A read-writable item map with \c int values, used
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/// internally to handle the cross references.
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/// \tparam CMP A functor class for comparing the priorities.
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/// The default is \c std::less<PR>.
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#ifdef DOXYGEN
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template <typename PR, typename IM, typename CMP>
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#else
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template <typename PR, typename IM, typename CMP = std::less<PR> >
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#endif
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class BinomHeap {
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public:
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/// Type of the item-int map.
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typedef IM ItemIntMap;
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/// Type of the priorities.
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typedef PR Prio;
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/// Type of the items stored in the heap.
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typedef typename ItemIntMap::Key Item;
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/// Functor type for comparing the priorities.
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typedef CMP Compare;
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/// \brief Type to represent the states of the items.
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///
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/// Each item has a state associated to it. It can be "in heap",
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/// "pre-heap" or "post-heap". The latter two are indifferent from the
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/// heap's point of view, but may be useful to the user.
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///
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/// The item-int map must be initialized in such way that it assigns
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/// \c PRE_HEAP (<tt>-1</tt>) to any element to be put in the heap.
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enum State {
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IN_HEAP = 0, ///< = 0.
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PRE_HEAP = -1, ///< = -1.
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POST_HEAP = -2 ///< = -2.
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};
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private:
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class store;
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std::vector<store> _data;
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int _min, _head;
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ItemIntMap &_iim;
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Compare _comp;
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int _num_items;
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public:
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/// \brief Constructor.
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///
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/// Constructor.
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/// \param map A map that assigns \c int values to the items.
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/// It is used internally to handle the cross references.
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/// The assigned value must be \c PRE_HEAP (<tt>-1</tt>) for each item.
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explicit BinomHeap(ItemIntMap &map)
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: _min(0), _head(-1), _iim(map), _num_items(0) {}
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/// \brief Constructor.
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///
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/// Constructor.
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/// \param map A map that assigns \c int values to the items.
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/// It is used internally to handle the cross references.
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/// The assigned value must be \c PRE_HEAP (<tt>-1</tt>) for each item.
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/// \param comp The function object used for comparing the priorities.
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BinomHeap(ItemIntMap &map, const Compare &comp)
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: _min(0), _head(-1), _iim(map), _comp(comp), _num_items(0) {}
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/// \brief The number of items stored in the heap.
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///
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/// This function returns the number of items stored in the heap.
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int size() const { return _num_items; }
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/// \brief Check if the heap is empty.
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///
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/// This function returns \c true if the heap is empty.
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bool empty() const { return _num_items==0; }
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/// \brief Make the heap empty.
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///
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/// This functon makes the heap empty.
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/// It does not change the cross reference map. If you want to reuse
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/// a heap that is not surely empty, you should first clear it and
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/// then you should set the cross reference map to \c PRE_HEAP
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/// for each item.
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void clear() {
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_data.clear(); _min=0; _num_items=0; _head=-1;
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}
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/// \brief Set the priority of an item or insert it, if it is
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/// not stored in the heap.
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///
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/// This method sets the priority of the given item if it is
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/// already stored in the heap. Otherwise it inserts the given
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/// item into the heap with the given priority.
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/// \param item The item.
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/// \param value The priority.
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void set (const Item& item, const Prio& value) {
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int i=_iim[item];
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if ( i >= 0 && _data[i].in ) {
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if ( _comp(value, _data[i].prio) ) decrease(item, value);
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if ( _comp(_data[i].prio, value) ) increase(item, value);
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} else push(item, value);
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}
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/// \brief Insert an item into the heap with the given priority.
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///
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/// This function inserts the given item into the heap with the
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/// given priority.
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/// \param item The item to insert.
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/// \param value The priority of the item.
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/// \pre \e item must not be stored in the heap.
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void push (const Item& item, const Prio& value) {
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int i=_iim[item];
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if ( i<0 ) {
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int s=_data.size();
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_iim.set( item,s );
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store st;
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st.name=item;
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_data.push_back(st);
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i=s;
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}
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else {
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_data[i].parent=_data[i].right_neighbor=_data[i].child=-1;
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_data[i].degree=0;
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_data[i].in=true;
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}
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_data[i].prio=value;
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if( 0==_num_items ) { _head=i; _min=i; }
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else { merge(i); }
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_min = findMin();
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++_num_items;
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}
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/// \brief Return the item having minimum priority.
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///
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/// This function returns the item having minimum priority.
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/// \pre The heap must be non-empty.
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Item top() const { return _data[_min].name; }
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/// \brief The minimum priority.
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///
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/// This function returns the minimum priority.
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/// \pre The heap must be non-empty.
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Prio prio() const { return _data[_min].prio; }
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/// \brief The priority of the given item.
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///
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/// This function returns the priority of the given item.
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/// \param item The item.
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/// \pre \e item must be in the heap.
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const Prio& operator[](const Item& item) const {
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return _data[_iim[item]].prio;
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}
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/// \brief Remove the item having minimum priority.
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///
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/// This function removes the item having minimum priority.
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/// \pre The heap must be non-empty.
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void pop() {
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_data[_min].in=false;
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int head_child=-1;
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if ( _data[_min].child!=-1 ) {
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int child=_data[_min].child;
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int neighb;
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int prev=-1;
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while( child!=-1 ) {
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neighb=_data[child].right_neighbor;
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_data[child].parent=-1;
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_data[child].right_neighbor=prev;
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head_child=child;
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prev=child;
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child=neighb;
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}
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}
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// The first case is that there are only one root.
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if ( -1==_data[_head].right_neighbor ) {
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_head=head_child;
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}
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// The case where there are more roots.
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else {
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if( _head!=_min ) { unlace(_min); }
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else { _head=_data[_head].right_neighbor; }
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merge(head_child);
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}
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_min=findMin();
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--_num_items;
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}
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/// \brief Remove the given item from the heap.
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///
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/// This function removes the given item from the heap if it is
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/// already stored.
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/// \param item The item to delete.
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/// \pre \e item must be in the heap.
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void erase (const Item& item) {
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int i=_iim[item];
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if ( i >= 0 && _data[i].in ) {
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decrease( item, _data[_min].prio-1 );
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pop();
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}
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}
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/// \brief Decrease the priority of an item to the given value.
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///
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/// This function decreases the priority of an item to the given value.
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/// \param item The item.
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/// \param value The priority.
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/// \pre \e item must be stored in the heap with priority at least \e value.
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void decrease (Item item, const Prio& value) {
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int i=_iim[item];
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if( _comp( value,_data[i].prio ) ) {
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_data[i].prio=value;
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int p_loc=_data[i].parent, loc=i;
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int parent, child, neighb;
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while( -1!=p_loc && _comp(_data[loc].prio,_data[p_loc].prio) ) {
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// parent set for other loc_child
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child=_data[loc].child;
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while( -1!=child ) {
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_data[child].parent=p_loc;
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child=_data[child].right_neighbor;
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}
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// parent set for other p_loc_child
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child=_data[p_loc].child;
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while( -1!=child ) {
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_data[child].parent=loc;
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child=_data[child].right_neighbor;
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}
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child=_data[p_loc].child;
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_data[p_loc].child=_data[loc].child;
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if( child==loc )
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child=p_loc;
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_data[loc].child=child;
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// left_neighb set for p_loc
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if( _data[loc].child!=p_loc ) {
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while( _data[child].right_neighbor!=loc )
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child=_data[child].right_neighbor;
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_data[child].right_neighbor=p_loc;
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}
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// left_neighb set for loc
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parent=_data[p_loc].parent;
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if( -1!=parent ) child=_data[parent].child;
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else child=_head;
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if( child!=p_loc ) {
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while( _data[child].right_neighbor!=p_loc )
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child=_data[child].right_neighbor;
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_data[child].right_neighbor=loc;
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}
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neighb=_data[p_loc].right_neighbor;
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_data[p_loc].right_neighbor=_data[loc].right_neighbor;
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_data[loc].right_neighbor=neighb;
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_data[p_loc].parent=loc;
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_data[loc].parent=parent;
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if( -1!=parent && _data[parent].child==p_loc )
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_data[parent].child=loc;
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/*if new parent will be the first root*/
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|
317 |
if( _head==p_loc )
|
kpeter@703
|
318 |
_head=loc;
|
kpeter@701
|
319 |
|
kpeter@703
|
320 |
p_loc=_data[loc].parent;
|
kpeter@701
|
321 |
}
|
kpeter@701
|
322 |
}
|
kpeter@703
|
323 |
if( _comp(value,_data[_min].prio) ) {
|
kpeter@703
|
324 |
_min=i;
|
kpeter@701
|
325 |
}
|
kpeter@701
|
326 |
}
|
kpeter@701
|
327 |
|
kpeter@703
|
328 |
/// \brief Increase the priority of an item to the given value.
|
kpeter@701
|
329 |
///
|
kpeter@703
|
330 |
/// This function increases the priority of an item to the given value.
|
kpeter@703
|
331 |
/// \param item The item.
|
kpeter@703
|
332 |
/// \param value The priority.
|
kpeter@703
|
333 |
/// \pre \e item must be stored in the heap with priority at most \e value.
|
kpeter@701
|
334 |
void increase (Item item, const Prio& value) {
|
kpeter@701
|
335 |
erase(item);
|
kpeter@701
|
336 |
push(item, value);
|
kpeter@701
|
337 |
}
|
kpeter@701
|
338 |
|
kpeter@703
|
339 |
/// \brief Return the state of an item.
|
kpeter@701
|
340 |
///
|
kpeter@703
|
341 |
/// This method returns \c PRE_HEAP if the given item has never
|
kpeter@703
|
342 |
/// been in the heap, \c IN_HEAP if it is in the heap at the moment,
|
kpeter@703
|
343 |
/// and \c POST_HEAP otherwise.
|
kpeter@703
|
344 |
/// In the latter case it is possible that the item will get back
|
kpeter@703
|
345 |
/// to the heap again.
|
kpeter@703
|
346 |
/// \param item The item.
|
kpeter@701
|
347 |
State state(const Item &item) const {
|
kpeter@703
|
348 |
int i=_iim[item];
|
kpeter@701
|
349 |
if( i>=0 ) {
|
kpeter@703
|
350 |
if ( _data[i].in ) i=0;
|
kpeter@701
|
351 |
else i=-2;
|
kpeter@701
|
352 |
}
|
kpeter@701
|
353 |
return State(i);
|
kpeter@701
|
354 |
}
|
kpeter@701
|
355 |
|
kpeter@703
|
356 |
/// \brief Set the state of an item in the heap.
|
kpeter@701
|
357 |
///
|
kpeter@703
|
358 |
/// This function sets the state of the given item in the heap.
|
kpeter@703
|
359 |
/// It can be used to manually clear the heap when it is important
|
kpeter@703
|
360 |
/// to achive better time complexity.
|
kpeter@701
|
361 |
/// \param i The item.
|
kpeter@701
|
362 |
/// \param st The state. It should not be \c IN_HEAP.
|
kpeter@701
|
363 |
void state(const Item& i, State st) {
|
kpeter@701
|
364 |
switch (st) {
|
kpeter@701
|
365 |
case POST_HEAP:
|
kpeter@701
|
366 |
case PRE_HEAP:
|
kpeter@701
|
367 |
if (state(i) == IN_HEAP) {
|
kpeter@701
|
368 |
erase(i);
|
kpeter@701
|
369 |
}
|
kpeter@703
|
370 |
_iim[i] = st;
|
kpeter@701
|
371 |
break;
|
kpeter@701
|
372 |
case IN_HEAP:
|
kpeter@701
|
373 |
break;
|
kpeter@701
|
374 |
}
|
kpeter@701
|
375 |
}
|
kpeter@701
|
376 |
|
kpeter@701
|
377 |
private:
|
kpeter@703
|
378 |
int findMin() {
|
kpeter@701
|
379 |
int min_loc=-1, min_val;
|
kpeter@703
|
380 |
int x=_head;
|
kpeter@701
|
381 |
if( x!=-1 ) {
|
kpeter@703
|
382 |
min_val=_data[x].prio;
|
kpeter@701
|
383 |
min_loc=x;
|
kpeter@703
|
384 |
x=_data[x].right_neighbor;
|
kpeter@701
|
385 |
|
kpeter@701
|
386 |
while( x!=-1 ) {
|
kpeter@703
|
387 |
if( _comp( _data[x].prio,min_val ) ) {
|
kpeter@703
|
388 |
min_val=_data[x].prio;
|
kpeter@701
|
389 |
min_loc=x;
|
kpeter@701
|
390 |
}
|
kpeter@703
|
391 |
x=_data[x].right_neighbor;
|
kpeter@701
|
392 |
}
|
kpeter@701
|
393 |
}
|
kpeter@701
|
394 |
return min_loc;
|
kpeter@701
|
395 |
}
|
kpeter@701
|
396 |
|
kpeter@701
|
397 |
void merge(int a) {
|
kpeter@701
|
398 |
interleave(a);
|
kpeter@701
|
399 |
|
kpeter@703
|
400 |
int x=_head;
|
kpeter@701
|
401 |
if( -1!=x ) {
|
kpeter@703
|
402 |
int x_prev=-1, x_next=_data[x].right_neighbor;
|
kpeter@701
|
403 |
while( -1!=x_next ) {
|
kpeter@703
|
404 |
if( _data[x].degree!=_data[x_next].degree || ( -1!=_data[x_next].right_neighbor && _data[_data[x_next].right_neighbor].degree==_data[x].degree ) ) {
|
kpeter@701
|
405 |
x_prev=x;
|
kpeter@701
|
406 |
x=x_next;
|
kpeter@701
|
407 |
}
|
kpeter@701
|
408 |
else {
|
kpeter@703
|
409 |
if( _comp(_data[x].prio,_data[x_next].prio) ) {
|
kpeter@703
|
410 |
_data[x].right_neighbor=_data[x_next].right_neighbor;
|
kpeter@701
|
411 |
fuse(x_next,x);
|
kpeter@701
|
412 |
}
|
kpeter@701
|
413 |
else {
|
kpeter@703
|
414 |
if( -1==x_prev ) { _head=x_next; }
|
kpeter@701
|
415 |
else {
|
kpeter@703
|
416 |
_data[x_prev].right_neighbor=x_next;
|
kpeter@701
|
417 |
}
|
kpeter@701
|
418 |
fuse(x,x_next);
|
kpeter@701
|
419 |
x=x_next;
|
kpeter@701
|
420 |
}
|
kpeter@701
|
421 |
}
|
kpeter@703
|
422 |
x_next=_data[x].right_neighbor;
|
kpeter@701
|
423 |
}
|
kpeter@701
|
424 |
}
|
kpeter@701
|
425 |
}
|
kpeter@701
|
426 |
|
kpeter@701
|
427 |
void interleave(int a) {
|
kpeter@701
|
428 |
int other=-1, head_other=-1;
|
kpeter@701
|
429 |
|
kpeter@703
|
430 |
while( -1!=a || -1!=_head ) {
|
kpeter@701
|
431 |
if( -1==a ) {
|
kpeter@701
|
432 |
if( -1==head_other ) {
|
kpeter@703
|
433 |
head_other=_head;
|
kpeter@701
|
434 |
}
|
kpeter@701
|
435 |
else {
|
kpeter@703
|
436 |
_data[other].right_neighbor=_head;
|
kpeter@701
|
437 |
}
|
kpeter@703
|
438 |
_head=-1;
|
kpeter@701
|
439 |
}
|
kpeter@703
|
440 |
else if( -1==_head ) {
|
kpeter@701
|
441 |
if( -1==head_other ) {
|
kpeter@701
|
442 |
head_other=a;
|
kpeter@701
|
443 |
}
|
kpeter@701
|
444 |
else {
|
kpeter@703
|
445 |
_data[other].right_neighbor=a;
|
kpeter@701
|
446 |
}
|
kpeter@701
|
447 |
a=-1;
|
kpeter@701
|
448 |
}
|
kpeter@701
|
449 |
else {
|
kpeter@703
|
450 |
if( _data[a].degree<_data[_head].degree ) {
|
kpeter@701
|
451 |
if( -1==head_other ) {
|
kpeter@701
|
452 |
head_other=a;
|
kpeter@701
|
453 |
}
|
kpeter@701
|
454 |
else {
|
kpeter@703
|
455 |
_data[other].right_neighbor=a;
|
kpeter@701
|
456 |
}
|
kpeter@701
|
457 |
other=a;
|
kpeter@703
|
458 |
a=_data[a].right_neighbor;
|
kpeter@701
|
459 |
}
|
kpeter@701
|
460 |
else {
|
kpeter@701
|
461 |
if( -1==head_other ) {
|
kpeter@703
|
462 |
head_other=_head;
|
kpeter@701
|
463 |
}
|
kpeter@701
|
464 |
else {
|
kpeter@703
|
465 |
_data[other].right_neighbor=_head;
|
kpeter@701
|
466 |
}
|
kpeter@703
|
467 |
other=_head;
|
kpeter@703
|
468 |
_head=_data[_head].right_neighbor;
|
kpeter@701
|
469 |
}
|
kpeter@701
|
470 |
}
|
kpeter@701
|
471 |
}
|
kpeter@703
|
472 |
_head=head_other;
|
kpeter@701
|
473 |
}
|
kpeter@701
|
474 |
|
kpeter@701
|
475 |
// Lacing a under b
|
kpeter@701
|
476 |
void fuse(int a, int b) {
|
kpeter@703
|
477 |
_data[a].parent=b;
|
kpeter@703
|
478 |
_data[a].right_neighbor=_data[b].child;
|
kpeter@703
|
479 |
_data[b].child=a;
|
kpeter@701
|
480 |
|
kpeter@703
|
481 |
++_data[b].degree;
|
kpeter@701
|
482 |
}
|
kpeter@701
|
483 |
|
kpeter@701
|
484 |
// It is invoked only if a has siblings.
|
kpeter@701
|
485 |
void unlace(int a) {
|
kpeter@703
|
486 |
int neighb=_data[a].right_neighbor;
|
kpeter@703
|
487 |
int other=_head;
|
kpeter@701
|
488 |
|
kpeter@703
|
489 |
while( _data[other].right_neighbor!=a )
|
kpeter@703
|
490 |
other=_data[other].right_neighbor;
|
kpeter@703
|
491 |
_data[other].right_neighbor=neighb;
|
kpeter@701
|
492 |
}
|
kpeter@701
|
493 |
|
kpeter@701
|
494 |
private:
|
kpeter@701
|
495 |
|
kpeter@701
|
496 |
class store {
|
kpeter@701
|
497 |
friend class BinomHeap;
|
kpeter@701
|
498 |
|
kpeter@701
|
499 |
Item name;
|
kpeter@701
|
500 |
int parent;
|
kpeter@701
|
501 |
int right_neighbor;
|
kpeter@701
|
502 |
int child;
|
kpeter@701
|
503 |
int degree;
|
kpeter@701
|
504 |
bool in;
|
kpeter@701
|
505 |
Prio prio;
|
kpeter@701
|
506 |
|
kpeter@701
|
507 |
store() : parent(-1), right_neighbor(-1), child(-1), degree(0), in(true) {}
|
kpeter@701
|
508 |
};
|
kpeter@701
|
509 |
};
|
kpeter@701
|
510 |
|
kpeter@701
|
511 |
} //namespace lemon
|
kpeter@701
|
512 |
|
kpeter@701
|
513 |
#endif //LEMON_BINOM_HEAP_H
|
kpeter@701
|
514 |
|