Location: LEMON/LEMON-main/lemon/pairing_heap.h - annotation
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Add fourary, k-ary, pairing and binomial heaps (#301)
These structures were implemented by Dorian Batha.
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r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 r701:d1a9224f1e30 | /* -*- C++ -*-
*
* This file is a part of LEMON, a generic C++ optimization library
*
* Copyright (C) 2003-2008
* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
* (Egervary Research Group on Combinatorial Optimization, EGRES).
*
* Permission to use, modify and distribute this software is granted
* provided that this copyright notice appears in all copies. For
* precise terms see the accompanying LICENSE file.
*
* This software is provided "AS IS" with no warranty of any kind,
* express or implied, and with no claim as to its suitability for any
* purpose.
*
*/
#ifndef LEMON_PAIRING_HEAP_H
#define LEMON_PAIRING_HEAP_H
///\file
///\ingroup auxdat
///\brief Pairing Heap implementation.
#include <vector>
#include <functional>
#include <lemon/math.h>
namespace lemon {
/// \ingroup auxdat
///
///\brief Pairing Heap.
///
///This class implements the \e Pairing \e heap data structure. A \e heap
///is a data structure for storing items with specified values called \e
///priorities in such a way that finding the item with minimum priority is
///efficient. \c Compare specifies the ordering of the priorities. In a heap
///one can change the priority of an item, add or erase an item, etc.
///
///The methods \ref increase and \ref erase are not efficient in a Pairing
///heap. In case of many calls to these operations, it is better to use a
///\ref BinHeap "binary heap".
///
///\param _Prio Type of the priority of the items.
///\param _ItemIntMap A read and writable Item int map, used internally
///to handle the cross references.
///\param _Compare A class for the ordering of the priorities. The
///default is \c std::less<_Prio>.
///
///\sa BinHeap
///\sa Dijkstra
///\author Dorian Batha
#ifdef DOXYGEN
template <typename _Prio,
typename _ItemIntMap,
typename _Compare>
#else
template <typename _Prio,
typename _ItemIntMap,
typename _Compare = std::less<_Prio> >
#endif
class PairingHeap {
public:
typedef _ItemIntMap ItemIntMap;
typedef _Prio Prio;
typedef typename ItemIntMap::Key Item;
typedef std::pair<Item,Prio> Pair;
typedef _Compare Compare;
private:
class store;
std::vector<store> container;
int minimum;
ItemIntMap &iimap;
Compare comp;
int num_items;
public:
///Status of the nodes
enum State {
///The node is in the heap
IN_HEAP = 0,
///The node has never been in the heap
PRE_HEAP = -1,
///The node was in the heap but it got out of it
POST_HEAP = -2
};
/// \brief The constructor
///
/// \c _iimap should be given to the constructor, since it is
/// used internally to handle the cross references.
explicit PairingHeap(ItemIntMap &_iimap)
: minimum(0), iimap(_iimap), num_items(0) {}
/// \brief The constructor
///
/// \c _iimap should be given to the constructor, since it is used
/// internally to handle the cross references. \c _comp is an
/// object for ordering of the priorities.
PairingHeap(ItemIntMap &_iimap, const Compare &_comp)
: minimum(0), iimap(_iimap), comp(_comp), num_items(0) {}
/// \brief The number of items stored in the heap.
///
/// Returns the number of items stored in the heap.
int size() const { return num_items; }
/// \brief Checks if the heap stores no items.
///
/// Returns \c true if and only if the heap stores no items.
bool empty() const { return num_items==0; }
/// \brief Make empty this heap.
///
/// Make empty this heap. It does not change the cross reference
/// map. If you want to reuse a heap what is not surely empty you
/// should first clear the heap and after that you should set the
/// cross reference map for each item to \c PRE_HEAP.
void clear() {
container.clear();
minimum = 0;
num_items = 0;
}
/// \brief \c item gets to the heap with priority \c value independently
/// if \c item was already there.
///
/// This method calls \ref push(\c item, \c value) if \c item is not
/// stored in the heap and it calls \ref decrease(\c item, \c value) or
/// \ref increase(\c item, \c value) otherwise.
void set (const Item& item, const Prio& value) {
int i=iimap[item];
if ( i>=0 && container[i].in ) {
if ( comp(value, container[i].prio) ) decrease(item, value);
if ( comp(container[i].prio, value) ) increase(item, value);
} else push(item, value);
}
/// \brief Adds \c item to the heap with priority \c value.
///
/// Adds \c item to the heap with priority \c value.
/// \pre \c item must not be stored in the heap.
void push (const Item& item, const Prio& value) {
int i=iimap[item];
if( i<0 ) {
int s=container.size();
iimap.set(item, s);
store st;
st.name=item;
container.push_back(st);
i=s;
} else {
container[i].parent=container[i].child=-1;
container[i].left_child=false;
container[i].degree=0;
container[i].in=true;
}
container[i].prio=value;
if ( num_items!=0 ) {
if ( comp( value, container[minimum].prio) ) {
fuse(i,minimum);
minimum=i;
}
else fuse(minimum,i);
}
else minimum=i;
++num_items;
}
/// \brief Returns the item with minimum priority relative to \c Compare.
///
/// This method returns the item with minimum priority relative to \c
/// Compare.
/// \pre The heap must be nonempty.
Item top() const { return container[minimum].name; }
/// \brief Returns the minimum priority relative to \c Compare.
///
/// It returns the minimum priority relative to \c Compare.
/// \pre The heap must be nonempty.
const Prio& prio() const { return container[minimum].prio; }
/// \brief Returns the priority of \c item.
///
/// It returns the priority of \c item.
/// \pre \c item must be in the heap.
const Prio& operator[](const Item& item) const {
return container[iimap[item]].prio;
}
/// \brief Deletes the item with minimum priority relative to \c Compare.
///
/// This method deletes the item with minimum priority relative to \c
/// Compare from the heap.
/// \pre The heap must be non-empty.
void pop() {
int TreeArray[num_items];
int i=0, num_child=0, child_right = 0;
container[minimum].in=false;
if( -1!=container[minimum].child ) {
i=container[minimum].child;
TreeArray[num_child] = i;
container[i].parent = -1;
container[minimum].child = -1;
++num_child;
int ch=-1;
while( container[i].child!=-1 ) {
ch=container[i].child;
if( container[ch].left_child && i==container[ch].parent ) {
i=ch;
//break;
} else {
if( container[ch].left_child ) {
child_right=container[ch].parent;
container[ch].parent = i;
--container[i].degree;
}
else {
child_right=ch;
container[i].child=-1;
container[i].degree=0;
}
container[child_right].parent = -1;
TreeArray[num_child] = child_right;
i = child_right;
++num_child;
}
}
int other;
for( i=0; i<num_child-1; i+=2 ) {
if ( !comp(container[TreeArray[i]].prio,
container[TreeArray[i+1]].prio) ) {
other=TreeArray[i];
TreeArray[i]=TreeArray[i+1];
TreeArray[i+1]=other;
}
fuse( TreeArray[i], TreeArray[i+1] );
}
i = (0==(num_child % 2)) ? num_child-2 : num_child-1;
while(i>=2) {
if ( comp(container[TreeArray[i]].prio,
container[TreeArray[i-2]].prio) ) {
other=TreeArray[i];
TreeArray[i]=TreeArray[i-2];
TreeArray[i-2]=other;
}
fuse( TreeArray[i-2], TreeArray[i] );
i-=2;
}
minimum = TreeArray[0];
}
if ( 0==num_child ) {
minimum = container[minimum].child;
}
--num_items;
}
/// \brief Deletes \c item from the heap.
///
/// This method deletes \c item from the heap, if \c item was already
/// stored in the heap. It is quite inefficient in Pairing heaps.
void erase (const Item& item) {
int i=iimap[item];
if ( i>=0 && container[i].in ) {
decrease( item, container[minimum].prio-1 );
pop();
}
}
/// \brief Decreases the priority of \c item to \c value.
///
/// This method decreases the priority of \c item to \c value.
/// \pre \c item must be stored in the heap with priority at least \c
/// value relative to \c Compare.
void decrease (Item item, const Prio& value) {
int i=iimap[item];
container[i].prio=value;
int p=container[i].parent;
if( container[i].left_child && i!=container[p].child ) {
p=container[p].parent;
}
if ( p!=-1 && comp(value,container[p].prio) ) {
cut(i,p);
if ( comp(container[minimum].prio,value) ) {
fuse(minimum,i);
} else {
fuse(i,minimum);
minimum=i;
}
}
}
/// \brief Increases the priority of \c item to \c value.
///
/// This method sets the priority of \c item to \c value. Though
/// there is no precondition on the priority of \c item, this
/// method should be used only if it is indeed necessary to increase
/// (relative to \c Compare) the priority of \c item, because this
/// method is inefficient.
void increase (Item item, const Prio& value) {
erase(item);
push(item,value);
}
/// \brief Returns if \c item is in, has already been in, or has never
/// been in the heap.
///
/// This method returns PRE_HEAP if \c item has never been in the
/// heap, IN_HEAP if it is in the heap at the moment, and POST_HEAP
/// otherwise. In the latter case it is possible that \c item will
/// get back to the heap again.
State state(const Item &item) const {
int i=iimap[item];
if( i>=0 ) {
if( container[i].in ) i=0;
else i=-2;
}
return State(i);
}
/// \brief Sets the state of the \c item in the heap.
///
/// Sets the state of the \c item in the heap. It can be used to
/// manually clear the heap when it is important to achive the
/// better time complexity.
/// \param i The item.
/// \param st The state. It should not be \c IN_HEAP.
void state(const Item& i, State st) {
switch (st) {
case POST_HEAP:
case PRE_HEAP:
if (state(i) == IN_HEAP) erase(i);
iimap[i]=st;
break;
case IN_HEAP:
break;
}
}
private:
void cut(int a, int b) {
int child_a;
switch (container[a].degree) {
case 2:
child_a = container[container[a].child].parent;
if( container[a].left_child ) {
container[child_a].left_child=true;
container[b].child=child_a;
container[child_a].parent=container[a].parent;
}
else {
container[child_a].left_child=false;
container[child_a].parent=b;
if( a!=container[b].child )
container[container[b].child].parent=child_a;
else
container[b].child=child_a;
}
--container[a].degree;
container[container[a].child].parent=a;
break;
case 1:
child_a = container[a].child;
if( !container[child_a].left_child ) {
--container[a].degree;
if( container[a].left_child ) {
container[child_a].left_child=true;
container[child_a].parent=container[a].parent;
container[b].child=child_a;
}
else {
container[child_a].left_child=false;
container[child_a].parent=b;
if( a!=container[b].child )
container[container[b].child].parent=child_a;
else
container[b].child=child_a;
}
container[a].child=-1;
}
else {
--container[b].degree;
if( container[a].left_child ) {
container[b].child =
(1==container[b].degree) ? container[a].parent : -1;
} else {
if (1==container[b].degree)
container[container[b].child].parent=b;
else
container[b].child=-1;
}
}
break;
case 0:
--container[b].degree;
if( container[a].left_child ) {
container[b].child =
(0!=container[b].degree) ? container[a].parent : -1;
} else {
if( 0!=container[b].degree )
container[container[b].child].parent=b;
else
container[b].child=-1;
}
break;
}
container[a].parent=-1;
container[a].left_child=false;
}
void fuse(int a, int b) {
int child_a = container[a].child;
int child_b = container[b].child;
container[a].child=b;
container[b].parent=a;
container[b].left_child=true;
if( -1!=child_a ) {
container[b].child=child_a;
container[child_a].parent=b;
container[child_a].left_child=false;
++container[b].degree;
if( -1!=child_b ) {
container[b].child=child_b;
container[child_b].parent=child_a;
}
}
else { ++container[a].degree; }
}
class store {
friend class PairingHeap;
Item name;
int parent;
int child;
bool left_child;
int degree;
bool in;
Prio prio;
store() : parent(-1), child(-1), left_child(false), degree(0), in(true) {}
};
};
} //namespace lemon
#endif //LEMON_PAIRING_HEAP_H
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