Location: LEMON/LEMON-official/lemon/bits/solver_bits.h

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kpeter (Peter Kovacs)
Use XTI implementation instead of ATI in NetworkSimplex (#234) XTI (eXtended Threaded Index) is an imporved version of the widely known ATI (Augmented Threaded Index) method for storing and updating the spanning tree structure in Network Simplex algorithms. In the ATI data structure three indices are stored for each node: predecessor, thread and depth. In the XTI data structure depth is replaced by the number of successors and the last successor (according to the thread index).
/* -*- mode: C++; indent-tabs-mode: nil; -*-
*
* 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_BITS_SOLVER_BITS_H
#define LEMON_BITS_SOLVER_BITS_H
#include <vector>
namespace lemon {
namespace _solver_bits {
class VarIndex {
private:
struct ItemT {
int prev, next;
int index;
};
std::vector<ItemT> items;
int first_item, last_item, first_free_item;
std::vector<int> cross;
public:
VarIndex()
: first_item(-1), last_item(-1), first_free_item(-1) {
}
void clear() {
first_item = -1;
first_free_item = -1;
items.clear();
cross.clear();
}
int addIndex(int idx) {
int n;
if (first_free_item == -1) {
n = items.size();
items.push_back(ItemT());
} else {
n = first_free_item;
first_free_item = items[n].next;
if (first_free_item != -1) {
items[first_free_item].prev = -1;
}
}
items[n].index = idx;
if (static_cast<int>(cross.size()) <= idx) {
cross.resize(idx + 1, -1);
}
cross[idx] = n;
items[n].prev = last_item;
items[n].next = -1;
if (last_item != -1) {
items[last_item].next = n;
} else {
first_item = n;
}
last_item = n;
return n;
}
int addIndex(int idx, int n) {
while (n >= static_cast<int>(items.size())) {
items.push_back(ItemT());
items.back().prev = -1;
items.back().next = first_free_item;
if (first_free_item != -1) {
items[first_free_item].prev = items.size() - 1;
}
first_free_item = items.size() - 1;
}
if (items[n].next != -1) {
items[items[n].next].prev = items[n].prev;
}
if (items[n].prev != -1) {
items[items[n].prev].next = items[n].next;
} else {
first_free_item = items[n].next;
}
items[n].index = idx;
if (static_cast<int>(cross.size()) <= idx) {
cross.resize(idx + 1, -1);
}
cross[idx] = n;
items[n].prev = last_item;
items[n].next = -1;
if (last_item != -1) {
items[last_item].next = n;
} else {
first_item = n;
}
last_item = n;
return n;
}
void eraseIndex(int idx) {
int n = cross[idx];
if (items[n].prev != -1) {
items[items[n].prev].next = items[n].next;
} else {
first_item = items[n].next;
}
if (items[n].next != -1) {
items[items[n].next].prev = items[n].prev;
} else {
last_item = items[n].prev;
}
if (first_free_item != -1) {
items[first_free_item].prev = n;
}
items[n].next = first_free_item;
items[n].prev = -1;
first_free_item = n;
while (!cross.empty() && cross.back() == -1) {
cross.pop_back();
}
}
int maxIndex() const {
return cross.size() - 1;
}
void shiftIndices(int idx) {
for (int i = idx + 1; i < static_cast<int>(cross.size()); ++i) {
cross[i - 1] = cross[i];
if (cross[i] != -1) {
--items[cross[i]].index;
}
}
cross.back() = -1;
cross.pop_back();
while (!cross.empty() && cross.back() == -1) {
cross.pop_back();
}
}
void relocateIndex(int idx, int jdx) {
cross[idx] = cross[jdx];
items[cross[jdx]].index = idx;
cross[jdx] = -1;
while (!cross.empty() && cross.back() == -1) {
cross.pop_back();
}
}
int operator[](int idx) const {
return cross[idx];
}
int operator()(int fdx) const {
return items[fdx].index;
}
void firstItem(int& fdx) const {
fdx = first_item;
}
void nextItem(int& fdx) const {
fdx = items[fdx].next;
}
};
}
}
#endif