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/* -*- C++ -*- |
| 2 | 2 |
* |
| 3 | 3 |
* This file is a part of LEMON, a generic C++ optimization library |
| 4 | 4 |
* |
| 5 | 5 |
* Copyright (C) 2003-2008 |
| 6 | 6 |
* Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport |
| 7 | 7 |
* (Egervary Research Group on Combinatorial Optimization, EGRES). |
| 8 | 8 |
* |
| 9 | 9 |
* Permission to use, modify and distribute this software is granted |
| 10 | 10 |
* provided that this copyright notice appears in all copies. For |
| 11 | 11 |
* precise terms see the accompanying LICENSE file. |
| 12 | 12 |
* |
| 13 | 13 |
* This software is provided "AS IS" with no warranty of any kind, |
| 14 | 14 |
* express or implied, and with no claim as to its suitability for any |
| 15 | 15 |
* purpose. |
| 16 | 16 |
* |
| 17 | 17 |
*/ |
| 18 | 18 |
|
| 19 | 19 |
#ifndef LEMON_GOMORY_HU_TREE_H |
| 20 | 20 |
#define LEMON_GOMORY_HU_TREE_H |
| 21 | 21 |
|
| 22 | 22 |
#include <limits> |
| 23 | 23 |
|
| 24 |
#include <lemon/core.h> |
|
| 24 | 25 |
#include <lemon/preflow.h> |
| 25 | 26 |
#include <lemon/concept_check.h> |
| 26 | 27 |
#include <lemon/concepts/maps.h> |
| 27 | 28 |
|
| 28 | 29 |
/// \ingroup min_cut |
| 29 | 30 |
/// \file |
| 30 | 31 |
/// \brief Gomory-Hu cut tree in graphs. |
| 31 | 32 |
|
| 32 | 33 |
namespace lemon {
|
| 33 | 34 |
|
| 34 | 35 |
/// \ingroup min_cut |
| 35 | 36 |
/// |
| 36 | 37 |
/// \brief Gomory-Hu cut tree algorithm |
| 37 | 38 |
/// |
| 38 |
/// The Gomory-Hu tree is a tree on the nodeset of the digraph, but it |
|
| 39 |
/// may contain arcs which are not in the original digraph. It helps |
|
| 40 |
/// to calculate the minimum cut between all pairs of nodes, because |
|
| 41 |
/// the minimum capacity arc on the tree path between two nodes has |
|
| 42 |
/// the same weight as the minimum cut in the digraph between these |
|
| 43 |
/// nodes. Moreover this arc separates the nodes to two parts which |
|
| 44 |
/// |
|
| 39 |
/// The Gomory-Hu tree is a tree on the node set of the graph, but it |
|
| 40 |
/// may contain edges which are not in the original digraph. It has the |
|
| 41 |
/// property that the minimum capacity edge of the path between two nodes |
|
| 42 |
/// in this tree has the same weight as the minimum cut in the digraph |
|
| 43 |
/// between these nodes. Moreover the components obtained by removing |
|
| 44 |
/// this edge from the tree determine the corresponding minimum cut. |
|
| 45 |
/// |
|
| 46 |
/// Therefore once this tree is computed, the minimum cut between any pair |
|
| 47 |
/// of nodes can easily be obtained. |
|
| 45 | 48 |
/// |
| 46 |
/// The algorithm calculates \e n-1 distinict minimum cuts with |
|
| 47 |
/// preflow algorithm, therefore the algorithm has |
|
| 49 |
/// The algorithm calculates \e n-1 distinct minimum cuts (currently with |
|
| 50 |
/// the \ref Preflow algorithm), therefore the algorithm has |
|
| 48 | 51 |
/// \f$(O(n^3\sqrt{e})\f$ overall time complexity. It calculates a
|
| 49 |
/// rooted Gomory-Hu tree, the structure of the tree and the weights |
|
| 50 |
/// can be obtained with \c predNode() and \c predValue() |
|
| 51 |
/// |
|
| 52 |
/// rooted Gomory-Hu tree, its structure and the weights can be obtained |
|
| 53 |
/// by \c predNode(), \c predValue() and \c rootDist(). |
|
| 54 |
/// |
|
| 55 |
/// The members \c minCutMap() and \c minCutValue() calculate |
|
| 52 | 56 |
/// the minimum cut and the minimum cut value between any two node |
| 53 |
/// in the digraph. |
|
| 54 |
template <typename _Graph, |
|
| 55 |
|
|
| 57 |
/// in the digraph. You can also list (iterate on) the nodes and the |
|
| 58 |
/// edges of the cuts using MinCutNodeIt and MinCutEdgeIt. |
|
| 59 |
/// |
|
| 60 |
/// \tparam GR The undirected graph data structure the algorithm will run on |
|
| 61 |
/// \tparam CAP type of the EdgeMap describing the Edge capacities. |
|
| 62 |
/// it is typename GR::template EdgeMap<int> by default. |
|
| 63 |
template <typename GR, |
|
| 64 |
typename CAP = typename GR::template EdgeMap<int> |
|
| 65 |
> |
|
| 56 | 66 |
class GomoryHuTree {
|
| 57 | 67 |
public: |
| 58 | 68 |
|
| 59 | 69 |
/// The graph type |
| 60 |
typedef _Graph Graph; |
|
| 61 |
/// The capacity on edges |
|
| 62 |
typedef |
|
| 70 |
typedef GR Graph; |
|
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/// The type if the edge capacity map |
|
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typedef CAP Capacity; |
|
| 63 | 73 |
/// The value type of capacities |
| 64 | 74 |
typedef typename Capacity::Value Value; |
| 65 | 75 |
|
| 66 | 76 |
private: |
| 67 | 77 |
|
| 68 | 78 |
TEMPLATE_GRAPH_TYPEDEFS(Graph); |
| 69 | 79 |
|
| 70 | 80 |
const Graph& _graph; |
| 71 | 81 |
const Capacity& _capacity; |
| 72 | 82 |
|
| 73 | 83 |
Node _root; |
| 74 | 84 |
typename Graph::template NodeMap<Node>* _pred; |
| 75 | 85 |
typename Graph::template NodeMap<Value>* _weight; |
| 76 | 86 |
typename Graph::template NodeMap<int>* _order; |
| 77 | 87 |
|
| 78 | 88 |
void createStructures() {
|
| 79 | 89 |
if (!_pred) {
|
| 80 | 90 |
_pred = new typename Graph::template NodeMap<Node>(_graph); |
| 81 | 91 |
} |
| 82 | 92 |
if (!_weight) {
|
| 83 | 93 |
_weight = new typename Graph::template NodeMap<Value>(_graph); |
| 84 | 94 |
} |
| 85 | 95 |
if (!_order) {
|
| 86 | 96 |
_order = new typename Graph::template NodeMap<int>(_graph); |
| 87 | 97 |
} |
| 88 | 98 |
} |
| 89 | 99 |
|
| 90 | 100 |
void destroyStructures() {
|
| 91 | 101 |
if (_pred) {
|
| 92 | 102 |
delete _pred; |
| 93 | 103 |
} |
| 94 | 104 |
if (_weight) {
|
| 95 | 105 |
delete _weight; |
| 96 | 106 |
} |
| 97 | 107 |
if (_order) {
|
| 98 | 108 |
delete _order; |
| 99 | 109 |
} |
| 100 | 110 |
} |
| 101 | 111 |
|
| 102 | 112 |
public: |
| 103 | 113 |
|
| 104 | 114 |
/// \brief Constructor |
| 105 | 115 |
/// |
| 106 | 116 |
/// Constructor |
| 107 |
/// \param graph The graph |
|
| 117 |
/// \param graph The graph the algorithm will run on. |
|
| 108 | 118 |
/// \param capacity The capacity map. |
| 109 | 119 |
GomoryHuTree(const Graph& graph, const Capacity& capacity) |
| 110 | 120 |
: _graph(graph), _capacity(capacity), |
| 111 | 121 |
_pred(0), _weight(0), _order(0) |
| 112 | 122 |
{
|
| 113 | 123 |
checkConcept<concepts::ReadMap<Edge, Value>, Capacity>(); |
| 114 | 124 |
} |
| 115 | 125 |
|
| 116 | 126 |
|
| 117 | 127 |
/// \brief Destructor |
| 118 | 128 |
/// |
| 119 | 129 |
/// Destructor |
| 120 | 130 |
~GomoryHuTree() {
|
| 121 | 131 |
destroyStructures(); |
| 122 | 132 |
} |
| 123 | 133 |
|
| 124 |
/// \brief Initializes the internal data structures. |
|
| 125 |
/// |
|
| 126 |
/// Initializes the internal data structures. |
|
| 127 |
/// |
|
| 134 |
// \brief Initialize the internal data structures. |
|
| 135 |
// |
|
| 136 |
// This function initializes the internal data structures. |
|
| 137 |
// |
|
| 128 | 138 |
void init() {
|
| 129 | 139 |
createStructures(); |
| 130 | 140 |
|
| 131 | 141 |
_root = NodeIt(_graph); |
| 132 | 142 |
for (NodeIt n(_graph); n != INVALID; ++n) {
|
| 133 | 143 |
_pred->set(n, _root); |
| 134 | 144 |
_order->set(n, -1); |
| 135 | 145 |
} |
| 136 | 146 |
_pred->set(_root, INVALID); |
| 137 | 147 |
_weight->set(_root, std::numeric_limits<Value>::max()); |
| 138 | 148 |
} |
| 139 | 149 |
|
| 140 | 150 |
|
| 141 |
/// \brief Starts the algorithm |
|
| 142 |
/// |
|
| 143 |
// |
|
| 151 |
// \brief Start the algorithm |
|
| 152 |
// |
|
| 153 |
// This function starts the algorithm. |
|
| 154 |
// |
|
| 155 |
// \pre \ref init() must be called before using this function. |
|
| 156 |
// |
|
| 144 | 157 |
void start() {
|
| 145 | 158 |
Preflow<Graph, Capacity> fa(_graph, _capacity, _root, INVALID); |
| 146 | 159 |
|
| 147 | 160 |
for (NodeIt n(_graph); n != INVALID; ++n) {
|
| 148 | 161 |
if (n == _root) continue; |
| 149 | 162 |
|
| 150 | 163 |
Node pn = (*_pred)[n]; |
| 151 | 164 |
fa.source(n); |
| 152 | 165 |
fa.target(pn); |
| 153 | 166 |
|
| 154 | 167 |
fa.runMinCut(); |
| 155 | 168 |
|
| 156 | 169 |
_weight->set(n, fa.flowValue()); |
| 157 | 170 |
|
| 158 | 171 |
for (NodeIt nn(_graph); nn != INVALID; ++nn) {
|
| 159 | 172 |
if (nn != n && fa.minCut(nn) && (*_pred)[nn] == pn) {
|
| 160 | 173 |
_pred->set(nn, n); |
| 161 | 174 |
} |
| 162 | 175 |
} |
| 163 | 176 |
if ((*_pred)[pn] != INVALID && fa.minCut((*_pred)[pn])) {
|
| 164 | 177 |
_pred->set(n, (*_pred)[pn]); |
| 165 | 178 |
_pred->set(pn, n); |
| 166 | 179 |
_weight->set(n, (*_weight)[pn]); |
| 167 | 180 |
_weight->set(pn, fa.flowValue()); |
| 168 | 181 |
} |
| 169 | 182 |
} |
| 170 | 183 |
|
| 171 | 184 |
_order->set(_root, 0); |
| 172 | 185 |
int index = 1; |
| 173 | 186 |
|
| 174 | 187 |
for (NodeIt n(_graph); n != INVALID; ++n) {
|
| 175 | 188 |
std::vector<Node> st; |
| 176 | 189 |
Node nn = n; |
| 177 | 190 |
while ((*_order)[nn] == -1) {
|
| 178 | 191 |
st.push_back(nn); |
| 179 | 192 |
nn = (*_pred)[nn]; |
| 180 | 193 |
} |
| 181 | 194 |
while (!st.empty()) {
|
| 182 | 195 |
_order->set(st.back(), index++); |
| 183 | 196 |
st.pop_back(); |
| 184 | 197 |
} |
| 185 | 198 |
} |
| 186 | 199 |
} |
| 187 | 200 |
|
| 188 |
/// |
|
| 201 |
///\name Execution Control |
|
| 202 |
|
|
| 203 |
///@{
|
|
| 204 |
|
|
| 205 |
/// \brief Run the Gomory-Hu algorithm. |
|
| 189 | 206 |
/// |
| 190 |
/// Runs the Gomory-Hu algorithm. |
|
| 191 |
/// \note gh.run() is just a shortcut of the following code. |
|
| 192 |
/// \code |
|
| 193 |
/// ght.init(); |
|
| 194 |
/// ght.start(); |
|
| 195 |
/// \endcode |
|
| 207 |
/// This function runs the Gomory-Hu algorithm. |
|
| 196 | 208 |
void run() {
|
| 197 | 209 |
init(); |
| 198 | 210 |
start(); |
| 199 | 211 |
} |
| 212 |
|
|
| 213 |
/// @} |
|
| 200 | 214 |
|
| 201 |
/// |
|
| 215 |
///\name Query Functions |
|
| 216 |
///The results of the algorithm can be obtained using these |
|
| 217 |
///functions.\n |
|
| 218 |
///The \ref run() "run()" should be called before using them.\n |
|
| 219 |
///See also MinCutNodeIt and MinCutEdgeIt |
|
| 220 |
|
|
| 221 |
///@{
|
|
| 222 |
|
|
| 223 |
/// \brief Return the predecessor node in the Gomory-Hu tree. |
|
| 202 | 224 |
/// |
| 203 |
/// |
|
| 225 |
/// This function returns the predecessor node in the Gomory-Hu tree. |
|
| 226 |
/// If the node is |
|
| 204 | 227 |
/// the root of the Gomory-Hu tree, then it returns \c INVALID. |
| 205 | 228 |
Node predNode(const Node& node) {
|
| 206 | 229 |
return (*_pred)[node]; |
| 207 | 230 |
} |
| 208 | 231 |
|
| 209 |
/// \brief |
|
| 232 |
/// \brief Return the distance from the root node in the Gomory-Hu tree. |
|
| 233 |
/// |
|
| 234 |
/// This function returns the distance of \c node from the root node |
|
| 235 |
/// in the Gomory-Hu tree. |
|
| 236 |
int rootDist(const Node& node) {
|
|
| 237 |
return (*_order)[node]; |
|
| 238 |
} |
|
| 239 |
|
|
| 240 |
/// \brief Return the weight of the predecessor edge in the |
|
| 210 | 241 |
/// Gomory-Hu tree. |
| 211 | 242 |
/// |
| 212 |
/// Returns the weight of the predecessor arc in the Gomory-Hu |
|
| 213 |
/// tree. If the node is the root of the Gomory-Hu tree, the |
|
| 214 |
/// |
|
| 243 |
/// This function returns the weight of the predecessor edge in the |
|
| 244 |
/// Gomory-Hu tree. If the node is the root, the result is undefined. |
|
| 215 | 245 |
Value predValue(const Node& node) {
|
| 216 | 246 |
return (*_weight)[node]; |
| 217 | 247 |
} |
| 218 | 248 |
|
| 219 |
/// \brief |
|
| 249 |
/// \brief Return the minimum cut value between two nodes |
|
| 220 | 250 |
/// |
| 221 |
/// |
|
| 251 |
/// This function returns the minimum cut value between two nodes. The |
|
| 222 | 252 |
/// algorithm finds the nearest common ancestor in the Gomory-Hu |
| 223 | 253 |
/// tree and calculates the minimum weight arc on the paths to |
| 224 | 254 |
/// the ancestor. |
| 225 | 255 |
Value minCutValue(const Node& s, const Node& t) const {
|
| 226 | 256 |
Node sn = s, tn = t; |
| 227 | 257 |
Value value = std::numeric_limits<Value>::max(); |
| 228 | 258 |
|
| 229 | 259 |
while (sn != tn) {
|
| 230 | 260 |
if ((*_order)[sn] < (*_order)[tn]) {
|
| 231 |
if ((*_weight)[tn] < value) value = (*_weight)[tn]; |
|
| 261 |
if ((*_weight)[tn] <= value) value = (*_weight)[tn]; |
|
| 232 | 262 |
tn = (*_pred)[tn]; |
| 233 | 263 |
} else {
|
| 234 |
if ((*_weight)[sn] < value) value = (*_weight)[sn]; |
|
| 264 |
if ((*_weight)[sn] <= value) value = (*_weight)[sn]; |
|
| 235 | 265 |
sn = (*_pred)[sn]; |
| 236 | 266 |
} |
| 237 | 267 |
} |
| 238 | 268 |
return value; |
| 239 | 269 |
} |
| 240 | 270 |
|
| 241 |
/// \brief |
|
| 271 |
/// \brief Return the minimum cut between two nodes |
|
| 242 | 272 |
/// |
| 243 |
/// Returns the minimum cut value between two nodes. The |
|
| 244 |
/// algorithm finds the nearest common ancestor in the Gomory-Hu |
|
| 245 |
/// tree and calculates the minimum weight arc on the paths to |
|
| 246 |
/// the ancestor. Then it sets all nodes to the cut determined by |
|
| 247 |
/// |
|
| 273 |
/// This function returns the minimum cut between the nodes \c s and \c t |
|
| 274 |
/// the \r cutMap parameter by setting the nodes in the component of |
|
| 275 |
/// \c \s to true and the other nodes to false. |
|
| 276 |
/// |
|
| 277 |
/// The \c cutMap should be \ref concepts::ReadWriteMap |
|
| 248 | 278 |
/// "ReadWriteMap". |
| 279 |
/// |
|
| 280 |
/// For higher level interfaces, see MinCutNodeIt and MinCutEdgeIt |
|
| 249 | 281 |
template <typename CutMap> |
| 250 |
Value minCutMap(const Node& s, |
|
| 282 |
Value minCutMap(const Node& s, ///< Base node |
|
| 283 |
const Node& t, |
|
| 284 |
///< The node you want to separate from Node s. |
|
| 285 |
CutMap& cutMap |
|
| 286 |
///< The cut will be return in this map. |
|
| 287 |
/// It must be a \c bool \ref concepts::ReadWriteMap |
|
| 288 |
/// "ReadWriteMap" on the graph nodes. |
|
| 289 |
) const {
|
|
| 251 | 290 |
Node sn = s, tn = t; |
| 252 |
|
|
| 291 |
bool s_root=false; |
|
| 253 | 292 |
Node rn = INVALID; |
| 254 | 293 |
Value value = std::numeric_limits<Value>::max(); |
| 255 | 294 |
|
| 256 | 295 |
while (sn != tn) {
|
| 257 | 296 |
if ((*_order)[sn] < (*_order)[tn]) {
|
| 258 |
if ((*_weight)[tn] < value) {
|
|
| 297 |
if ((*_weight)[tn] <= value) {
|
|
| 259 | 298 |
rn = tn; |
| 299 |
s_root = false; |
|
| 260 | 300 |
value = (*_weight)[tn]; |
| 261 | 301 |
} |
| 262 | 302 |
tn = (*_pred)[tn]; |
| 263 | 303 |
} else {
|
| 264 |
if ((*_weight)[sn] < value) {
|
|
| 304 |
if ((*_weight)[sn] <= value) {
|
|
| 265 | 305 |
rn = sn; |
| 306 |
s_root = true; |
|
| 266 | 307 |
value = (*_weight)[sn]; |
| 267 | 308 |
} |
| 268 | 309 |
sn = (*_pred)[sn]; |
| 269 | 310 |
} |
| 270 | 311 |
} |
| 271 | 312 |
|
| 272 | 313 |
typename Graph::template NodeMap<bool> reached(_graph, false); |
| 273 | 314 |
reached.set(_root, true); |
| 274 |
cutMap.set(_root, |
|
| 315 |
cutMap.set(_root, !s_root); |
|
| 275 | 316 |
reached.set(rn, true); |
| 276 |
cutMap.set(rn, |
|
| 317 |
cutMap.set(rn, s_root); |
|
| 277 | 318 |
|
| 319 |
std::vector<Node> st; |
|
| 278 | 320 |
for (NodeIt n(_graph); n != INVALID; ++n) {
|
| 279 |
std::vector<Node> st; |
|
| 280 |
Node nn = n; |
|
| 321 |
st.clear(); |
|
| 322 |
Node nn = n; |
|
| 281 | 323 |
while (!reached[nn]) {
|
| 282 | 324 |
st.push_back(nn); |
| 283 | 325 |
nn = (*_pred)[nn]; |
| 284 | 326 |
} |
| 285 | 327 |
while (!st.empty()) {
|
| 286 | 328 |
cutMap.set(st.back(), cutMap[nn]); |
| 287 | 329 |
st.pop_back(); |
| 288 | 330 |
} |
| 289 | 331 |
} |
| 290 | 332 |
|
| 291 | 333 |
return value; |
| 292 | 334 |
} |
| 293 | 335 |
|
| 336 |
///@} |
|
| 337 |
|
|
| 338 |
friend class MinCutNodeIt; |
|
| 339 |
|
|
| 340 |
/// Iterate on the nodes of a minimum cut |
|
| 341 |
|
|
| 342 |
/// This iterator class lists the nodes of a minimum cut found by |
|
| 343 |
/// GomoryHuTree. Before using it, you must allocate a GomoryHuTree class, |
|
| 344 |
/// and call its \ref GomoryHuTree::run() "run()" method. |
|
| 345 |
/// |
|
| 346 |
/// This example counts the nodes in the minimum cut separating \c s from |
|
| 347 |
/// \c t. |
|
| 348 |
/// \code |
|
| 349 |
/// GomoruHuTree<Graph> gom(g, capacities); |
|
| 350 |
/// gom.run(); |
|
| 351 |
/// int sum=0; |
|
| 352 |
/// for(GomoruHuTree<Graph>::MinCutNodeIt n(gom,s,t);n!=INVALID;++n) ++sum; |
|
| 353 |
/// \endcode |
|
| 354 |
class MinCutNodeIt |
|
| 355 |
{
|
|
| 356 |
bool _side; |
|
| 357 |
typename Graph::NodeIt _node_it; |
|
| 358 |
typename Graph::template NodeMap<bool> _cut; |
|
| 359 |
public: |
|
| 360 |
/// Constructor |
|
| 361 |
|
|
| 362 |
/// Constructor |
|
| 363 |
/// |
|
| 364 |
MinCutNodeIt(GomoryHuTree const &gomory, |
|
| 365 |
///< The GomoryHuTree class. You must call its |
|
| 366 |
/// run() method |
|
| 367 |
/// before initializing this iterator |
|
| 368 |
const Node& s, ///< Base node |
|
| 369 |
const Node& t, |
|
| 370 |
///< The node you want to separate from Node s. |
|
| 371 |
bool side=true |
|
| 372 |
///< If it is \c true (default) then the iterator lists |
|
| 373 |
/// the nodes of the component containing \c s, |
|
| 374 |
/// otherwise it lists the other component. |
|
| 375 |
/// \note As the minimum cut is not always unique, |
|
| 376 |
/// \code |
|
| 377 |
/// MinCutNodeIt(gomory, s, t, true); |
|
| 378 |
/// \endcode |
|
| 379 |
/// and |
|
| 380 |
/// \code |
|
| 381 |
/// MinCutNodeIt(gomory, t, s, false); |
|
| 382 |
/// \endcode |
|
| 383 |
/// does not necessarily give the same set of nodes. |
|
| 384 |
/// However it is ensured that |
|
| 385 |
/// \code |
|
| 386 |
/// MinCutNodeIt(gomory, s, t, true); |
|
| 387 |
/// \endcode |
|
| 388 |
/// and |
|
| 389 |
/// \code |
|
| 390 |
/// MinCutNodeIt(gomory, s, t, false); |
|
| 391 |
/// \endcode |
|
| 392 |
/// together list each node exactly once. |
|
| 393 |
) |
|
| 394 |
: _side(side), _cut(gomory._graph) |
|
| 395 |
{
|
|
| 396 |
gomory.minCutMap(s,t,_cut); |
|
| 397 |
for(_node_it=typename Graph::NodeIt(gomory._graph); |
|
| 398 |
_node_it!=INVALID && _cut[_node_it]!=_side; |
|
| 399 |
++_node_it) {}
|
|
| 400 |
} |
|
| 401 |
/// Conversion to Node |
|
| 402 |
|
|
| 403 |
/// Conversion to Node |
|
| 404 |
/// |
|
| 405 |
operator typename Graph::Node() const |
|
| 406 |
{
|
|
| 407 |
return _node_it; |
|
| 408 |
} |
|
| 409 |
bool operator==(Invalid) { return _node_it==INVALID; }
|
|
| 410 |
bool operator!=(Invalid) { return _node_it!=INVALID; }
|
|
| 411 |
/// Next node |
|
| 412 |
|
|
| 413 |
/// Next node |
|
| 414 |
/// |
|
| 415 |
MinCutNodeIt &operator++() |
|
| 416 |
{
|
|
| 417 |
for(++_node_it;_node_it!=INVALID&&_cut[_node_it]!=_side;++_node_it) {}
|
|
| 418 |
return *this; |
|
| 419 |
} |
|
| 420 |
/// Postfix incrementation |
|
| 421 |
|
|
| 422 |
/// Postfix incrementation |
|
| 423 |
/// |
|
| 424 |
/// \warning This incrementation |
|
| 425 |
/// returns a \c Node, not a \ref MinCutNodeIt, as one may |
|
| 426 |
/// expect. |
|
| 427 |
typename Graph::Node operator++(int) |
|
| 428 |
{
|
|
| 429 |
typename Graph::Node n=*this; |
|
| 430 |
++(*this); |
|
| 431 |
return n; |
|
| 432 |
} |
|
| 433 |
}; |
|
| 434 |
|
|
| 435 |
friend class MinCutEdgeIt; |
|
| 436 |
|
|
| 437 |
/// Iterate on the edges of a minimum cut |
|
| 438 |
|
|
| 439 |
/// This iterator class lists the edges of a minimum cut found by |
|
| 440 |
/// GomoryHuTree. Before using it, you must allocate a GomoryHuTree class, |
|
| 441 |
/// and call its \ref GomoryHuTree::run() "run()" method. |
|
| 442 |
/// |
|
| 443 |
/// This example computes the value of the minimum cut separating \c s from |
|
| 444 |
/// \c t. |
|
| 445 |
/// \code |
|
| 446 |
/// GomoruHuTree<Graph> gom(g, capacities); |
|
| 447 |
/// gom.run(); |
|
| 448 |
/// int value=0; |
|
| 449 |
/// for(GomoruHuTree<Graph>::MinCutEdgeIt e(gom,s,t);e!=INVALID;++e) |
|
| 450 |
/// value+=capacities[e]; |
|
| 451 |
/// \endcode |
|
| 452 |
/// the result will be the same as it is returned by |
|
| 453 |
/// \ref GomoryHuTree::minCostValue() "gom.minCostValue(s,t)" |
|
| 454 |
class MinCutEdgeIt |
|
| 455 |
{
|
|
| 456 |
bool _side; |
|
| 457 |
const Graph &_graph; |
|
| 458 |
typename Graph::NodeIt _node_it; |
|
| 459 |
typename Graph::OutArcIt _arc_it; |
|
| 460 |
typename Graph::template NodeMap<bool> _cut; |
|
| 461 |
void step() |
|
| 462 |
{
|
|
| 463 |
++_arc_it; |
|
| 464 |
while(_node_it!=INVALID && _arc_it==INVALID) |
|
| 465 |
{
|
|
| 466 |
for(++_node_it;_node_it!=INVALID&&!_cut[_node_it];++_node_it) {}
|
|
| 467 |
if(_node_it!=INVALID) |
|
| 468 |
_arc_it=typename Graph::OutArcIt(_graph,_node_it); |
|
| 469 |
} |
|
| 470 |
} |
|
| 471 |
|
|
| 472 |
public: |
|
| 473 |
MinCutEdgeIt(GomoryHuTree const &gomory, |
|
| 474 |
///< The GomoryHuTree class. You must call its |
|
| 475 |
/// run() method |
|
| 476 |
/// before initializing this iterator |
|
| 477 |
const Node& s, ///< Base node |
|
| 478 |
const Node& t, |
|
| 479 |
///< The node you want to separate from Node s. |
|
| 480 |
bool side=true |
|
| 481 |
///< If it is \c true (default) then the listed arcs |
|
| 482 |
/// will be oriented from the |
|
| 483 |
/// the nodes of the component containing \c s, |
|
| 484 |
/// otherwise they will be oriented in the opposite |
|
| 485 |
/// direction. |
|
| 486 |
) |
|
| 487 |
: _graph(gomory._graph), _cut(_graph) |
|
| 488 |
{
|
|
| 489 |
gomory.minCutMap(s,t,_cut); |
|
| 490 |
if(!side) |
|
| 491 |
for(typename Graph::NodeIt n(_graph);n!=INVALID;++n) |
|
| 492 |
_cut[n]=!_cut[n]; |
|
| 493 |
|
|
| 494 |
for(_node_it=typename Graph::NodeIt(_graph); |
|
| 495 |
_node_it!=INVALID && !_cut[_node_it]; |
|
| 496 |
++_node_it) {}
|
|
| 497 |
_arc_it = _node_it!=INVALID ? |
|
| 498 |
typename Graph::OutArcIt(_graph,_node_it) : INVALID; |
|
| 499 |
while(_node_it!=INVALID && _arc_it == INVALID) |
|
| 500 |
{
|
|
| 501 |
for(++_node_it; _node_it!=INVALID&&!_cut[_node_it]; ++_node_it) {}
|
|
| 502 |
if(_node_it!=INVALID) |
|
| 503 |
_arc_it= typename Graph::OutArcIt(_graph,_node_it); |
|
| 504 |
} |
|
| 505 |
while(_arc_it!=INVALID && _cut[_graph.target(_arc_it)]) step(); |
|
| 506 |
} |
|
| 507 |
/// Conversion to Arc |
|
| 508 |
|
|
| 509 |
/// Conversion to Arc |
|
| 510 |
/// |
|
| 511 |
operator typename Graph::Arc() const |
|
| 512 |
{
|
|
| 513 |
return _arc_it; |
|
| 514 |
} |
|
| 515 |
/// Conversion to Edge |
|
| 516 |
|
|
| 517 |
/// Conversion to Edge |
|
| 518 |
/// |
|
| 519 |
operator typename Graph::Edge() const |
|
| 520 |
{
|
|
| 521 |
return _arc_it; |
|
| 522 |
} |
|
| 523 |
bool operator==(Invalid) { return _node_it==INVALID; }
|
|
| 524 |
bool operator!=(Invalid) { return _node_it!=INVALID; }
|
|
| 525 |
/// Next edge |
|
| 526 |
|
|
| 527 |
/// Next edge |
|
| 528 |
/// |
|
| 529 |
MinCutEdgeIt &operator++() |
|
| 530 |
{
|
|
| 531 |
step(); |
|
| 532 |
while(_arc_it!=INVALID && _cut[_graph.target(_arc_it)]) step(); |
|
| 533 |
return *this; |
|
| 534 |
} |
|
| 535 |
/// Postfix incrementation |
|
| 536 |
|
|
| 537 |
/// Postfix incrementation |
|
| 538 |
/// |
|
| 539 |
/// \warning This incrementation |
|
| 540 |
/// returns a \c Arc, not a \ref MinCutEdgeIt, as one may |
|
| 541 |
/// expect. |
|
| 542 |
typename Graph::Arc operator++(int) |
|
| 543 |
{
|
|
| 544 |
typename Graph::Arc e=*this; |
|
| 545 |
++(*this); |
|
| 546 |
return e; |
|
| 547 |
} |
|
| 548 |
}; |
|
| 549 |
|
|
| 294 | 550 |
}; |
| 295 | 551 |
|
| 296 | 552 |
} |
| 297 | 553 |
|
| 298 | 554 |
#endif |
| 1 | 1 |
#include <iostream> |
| 2 | 2 |
|
| 3 | 3 |
#include "test_tools.h" |
| 4 | 4 |
#include <lemon/smart_graph.h> |
| 5 |
#include <lemon/adaptors.h> |
|
| 6 | 5 |
#include <lemon/lgf_reader.h> |
| 7 |
#include <lemon/lgf_writer.h> |
|
| 8 |
#include <lemon/dimacs.h> |
|
| 9 |
#include <lemon/time_measure.h> |
|
| 10 | 6 |
#include <lemon/gomory_hu_tree.h> |
| 11 | 7 |
#include <cstdlib> |
| 12 | 8 |
|
| 13 | 9 |
using namespace std; |
| 14 | 10 |
using namespace lemon; |
| 15 | 11 |
|
| 16 | 12 |
typedef SmartGraph Graph; |
| 17 | 13 |
|
| 18 | 14 |
char test_lgf[] = |
| 19 | 15 |
"@nodes\n" |
| 20 | 16 |
"label\n" |
| 21 | 17 |
"0\n" |
| 22 | 18 |
"1\n" |
| 23 | 19 |
"2\n" |
| 24 | 20 |
"3\n" |
| 25 | 21 |
"4\n" |
| 26 | 22 |
"@arcs\n" |
| 27 | 23 |
" label capacity\n" |
| 28 | 24 |
"0 1 0 1\n" |
| 29 | 25 |
"1 2 1 1\n" |
| 30 | 26 |
"2 3 2 1\n" |
| 31 | 27 |
"0 3 4 5\n" |
| 32 | 28 |
"0 3 5 10\n" |
| 33 | 29 |
"0 3 6 7\n" |
| 34 | 30 |
"4 2 7 1\n" |
| 35 | 31 |
"@attributes\n" |
| 36 | 32 |
"source 0\n" |
| 37 | 33 |
"target 3\n"; |
| 38 | 34 |
|
| 39 | 35 |
GRAPH_TYPEDEFS(Graph); |
| 40 | 36 |
typedef Graph::EdgeMap<int> IntEdgeMap; |
| 41 | 37 |
typedef Graph::NodeMap<bool> BoolNodeMap; |
| 42 | 38 |
|
| 43 | 39 |
int cutValue(const Graph& graph, const BoolNodeMap& cut, |
| 44 | 40 |
const IntEdgeMap& capacity) {
|
| 45 | 41 |
|
| 46 | 42 |
int sum = 0; |
| 47 | 43 |
for (EdgeIt e(graph); e != INVALID; ++e) {
|
| 48 | 44 |
Node s = graph.u(e); |
| 49 | 45 |
Node t = graph.v(e); |
| 50 | 46 |
|
| 51 | 47 |
if (cut[s] != cut[t]) {
|
| 52 | 48 |
sum += capacity[e]; |
| 53 | 49 |
} |
| 54 | 50 |
} |
| 55 | 51 |
return sum; |
| 56 | 52 |
} |
| 57 | 53 |
|
| 58 | 54 |
|
| 59 | 55 |
int main() {
|
| 60 | 56 |
Graph graph; |
| 61 | 57 |
IntEdgeMap capacity(graph); |
| 62 | 58 |
|
| 63 | 59 |
std::istringstream input(test_lgf); |
| 64 | 60 |
GraphReader<Graph>(graph, input). |
| 65 | 61 |
edgeMap("capacity", capacity).run();
|
| 66 | 62 |
|
| 67 | 63 |
GomoryHuTree<Graph> ght(graph, capacity); |
| 68 | 64 |
ght.init(); |
| 69 | 65 |
ght.run(); |
| 70 | 66 |
|
| 71 | 67 |
for (NodeIt u(graph); u != INVALID; ++u) {
|
| 72 | 68 |
for (NodeIt v(graph); v != u; ++v) {
|
| 73 | 69 |
Preflow<Graph, IntEdgeMap> pf(graph, capacity, u, v); |
| 74 | 70 |
pf.runMinCut(); |
| 75 | 71 |
BoolNodeMap cm(graph); |
| 76 | 72 |
ght.minCutMap(u, v, cm); |
| 77 | 73 |
check(pf.flowValue() == ght.minCutValue(u, v), "Wrong cut 1"); |
| 78 | 74 |
check(cm[u] != cm[v], "Wrong cut 3"); |
| 79 | 75 |
check(pf.flowValue() == cutValue(graph, cm, capacity), "Wrong cut 2"); |
| 76 |
|
|
| 77 |
int sum=0; |
|
| 78 |
for(GomoryHuTree<Graph>::MinCutEdgeIt a(ght, u, v);a!=INVALID;++a) |
|
| 79 |
sum+=capacity[a]; |
|
| 80 |
check(sum == ght.minCutValue(u, v), "Problem with MinCutEdgeIt"); |
|
| 81 |
|
|
| 82 |
sum=0; |
|
| 83 |
for(GomoryHuTree<Graph>::MinCutNodeIt n(ght, u, v,true);n!=INVALID;++n) |
|
| 84 |
sum++; |
|
| 85 |
for(GomoryHuTree<Graph>::MinCutNodeIt n(ght, u, v,false);n!=INVALID;++n) |
|
| 86 |
sum++; |
|
| 87 |
check(sum == countNodes(graph), "Problem with MinCutNodeIt"); |
|
| 80 | 88 |
|
| 81 | 89 |
} |
| 82 | 90 |
} |
| 83 | 91 |
|
| 84 | 92 |
return 0; |
| 85 | 93 |
} |
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