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alpar (Alpar Juttner)
alpar@cs.elte.hu
Replace figure at matching doc #348 The original bibartite_matching.eps is kept for future use.
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4 files changed with 134 insertions and 2 deletions:
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showpage
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SET(PACKAGE_NAME ${PROJECT_NAME})
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SET(PACKAGE_VERSION ${PROJECT_VERSION})
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SET(abs_top_srcdir ${PROJECT_SOURCE_DIR})
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SET(abs_top_builddir ${PROJECT_BINARY_DIR})
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CONFIGURE_FILE(
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  ${PROJECT_SOURCE_DIR}/doc/Doxyfile.in
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  ${PROJECT_BINARY_DIR}/doc/Doxyfile
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  @ONLY
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)
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IF(DOXYGEN_EXECUTABLE AND PYTHONINTERP_FOUND AND GHOSTSCRIPT_EXECUTABLE)
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  FILE(MAKE_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/)
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  SET(GHOSTSCRIPT_OPTIONS -dNOPAUSE -dBATCH -q -dEPSCrop -dTextAlphaBits=4 -dGraphicsAlphaBits=4 -sDEVICE=pngalpha)
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  ADD_CUSTOM_TARGET(html
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    COMMAND ${CMAKE_COMMAND} -E remove_directory gen-images
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    COMMAND ${CMAKE_COMMAND} -E make_directory gen-images
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/bipartite_matching.png ${CMAKE_CURRENT_SOURCE_DIR}/images/bipartite_matching.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/bipartite_partitions.png ${CMAKE_CURRENT_SOURCE_DIR}/images/bipartite_partitions.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/connected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/connected_components.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/edge_biconnected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/edge_biconnected_components.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/grid_graph.png ${CMAKE_CURRENT_SOURCE_DIR}/images/grid_graph.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/matching.png ${CMAKE_CURRENT_SOURCE_DIR}/images/matching.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/node_biconnected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/node_biconnected_components.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_0.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_0.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_1.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_1.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_2.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_2.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_3.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_3.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/nodeshape_4.png ${CMAKE_CURRENT_SOURCE_DIR}/images/nodeshape_4.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/planar.png ${CMAKE_CURRENT_SOURCE_DIR}/images/planar.eps
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    COMMAND ${GHOSTSCRIPT_EXECUTABLE} ${GHOSTSCRIPT_OPTIONS} -r18 -sOutputFile=gen-images/strongly_connected_components.png ${CMAKE_CURRENT_SOURCE_DIR}/images/strongly_connected_components.eps
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    COMMAND ${CMAKE_COMMAND} -E remove_directory html
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    COMMAND ${PYTHON_EXECUTABLE} ${PROJECT_SOURCE_DIR}/scripts/bib2dox.py ${CMAKE_CURRENT_SOURCE_DIR}/references.bib >references.dox
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    COMMAND ${DOXYGEN_EXECUTABLE} Doxyfile
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    WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
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  )
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  SET_TARGET_PROPERTIES(html PROPERTIES PROJECT_LABEL BUILD_DOC)
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  IF(UNIX)
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    INSTALL(
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      DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/
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      DESTINATION share/doc/lemon/html
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      COMPONENT html_documentation
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    )
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  ELSEIF(WIN32)
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    INSTALL(
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      DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/html/
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      DESTINATION doc
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      COMPONENT html_documentation
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    )
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  ENDIF()
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ENDIF()
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EXTRA_DIST += \
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	doc/Doxyfile.in \
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	doc/DoxygenLayout.xml \
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	doc/coding_style.dox \
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	doc/dirs.dox \
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	doc/groups.dox \
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	doc/lgf.dox \
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	doc/license.dox \
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	doc/mainpage.dox \
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	doc/migration.dox \
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	doc/min_cost_flow.dox \
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	doc/named-param.dox \
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	doc/namespaces.dox \
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	doc/html \
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	doc/CMakeLists.txt
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DOC_EPS_IMAGES18 = \
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	grid_graph.eps \
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	nodeshape_0.eps \
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	nodeshape_1.eps \
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	nodeshape_2.eps \
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	nodeshape_3.eps \
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	nodeshape_4.eps
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DOC_EPS_IMAGES27 = \
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	bipartite_matching.eps \
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	bipartite_partitions.eps \
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	connected_components.eps \
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	edge_biconnected_components.eps \
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	matching.eps \
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	node_biconnected_components.eps \
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	planar.eps \
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	strongly_connected_components.eps
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DOC_EPS_IMAGES = \
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	$(DOC_EPS_IMAGES18) \
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	$(DOC_EPS_IMAGES27)
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DOC_PNG_IMAGES = \
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	$(DOC_EPS_IMAGES:%.eps=doc/gen-images/%.png)
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EXTRA_DIST += $(DOC_EPS_IMAGES:%=doc/images/%)
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doc/html:
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	$(MAKE) $(AM_MAKEFLAGS) html
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GS_COMMAND=gs -dNOPAUSE -dBATCH -q -dEPSCrop -dTextAlphaBits=4 -dGraphicsAlphaBits=4
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$(DOC_EPS_IMAGES18:%.eps=doc/gen-images/%.png): doc/gen-images/%.png: doc/images/%.eps
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	-mkdir doc/gen-images
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	if test ${gs_found} = yes; then \
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	  $(GS_COMMAND) -sDEVICE=pngalpha -r18 -sOutputFile=$@ $<; \
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	else \
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	  echo; \
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	  echo "Ghostscript not found."; \
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	  echo; \
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	  exit 1; \
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	fi
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$(DOC_EPS_IMAGES27:%.eps=doc/gen-images/%.png): doc/gen-images/%.png: doc/images/%.eps
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	-mkdir doc/gen-images
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	if test ${gs_found} = yes; then \
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	  $(GS_COMMAND) -sDEVICE=pngalpha -r27 -sOutputFile=$@ $<; \
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	else \
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	  echo; \
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	  echo "Ghostscript not found."; \
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	  echo; \
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	  exit 1; \
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	fi
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references.dox: doc/references.bib
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	if test ${python_found} = yes; then \
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	  cd doc; \
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	  python @abs_top_srcdir@/scripts/bib2dox.py @abs_top_builddir@/$< >$@; \
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	  cd ..; \
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	else \
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	  echo; \
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	  echo "Python not found."; \
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	  echo; \
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	  exit 1; \
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	fi
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html-local: $(DOC_PNG_IMAGES) references.dox
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	if test ${doxygen_found} = yes; then \
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	  cd doc; \
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	  doxygen Doxyfile; \
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	  cd ..; \
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	else \
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	  echo; \
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	  echo "Doxygen not found."; \
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	  echo; \
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	  exit 1; \
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	fi
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... ...
@@ -462,130 +462,130 @@
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of minimum mean length (cost) in a digraph.
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The mean length of a cycle is the average length of its arcs, i.e. the
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ratio between the total length of the cycle and the number of arcs on it.
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This problem has an important connection to \e conservative \e length
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\e functions, too. A length function on the arcs of a digraph is called
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conservative if and only if there is no directed cycle of negative total
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length. For an arbitrary length function, the negative of the minimum
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cycle mean is the smallest \f$\epsilon\f$ value so that increasing the
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arc lengths uniformly by \f$\epsilon\f$ results in a conservative length
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function.
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LEMON contains three algorithms for solving the minimum mean cycle problem:
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- \ref Karp "Karp"'s original algorithm \ref amo93networkflows,
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  \ref dasdan98minmeancycle.
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- \ref HartmannOrlin "Hartmann-Orlin"'s algorithm, which is an improved
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  version of Karp's algorithm \ref dasdan98minmeancycle.
479 479
- \ref Howard "Howard"'s policy iteration algorithm
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  \ref dasdan98minmeancycle.
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In practice, the Howard algorithm proved to be by far the most efficient
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one, though the best known theoretical bound on its running time is
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exponential.
485 485
Both Karp and HartmannOrlin algorithms run in time O(ne) and use space
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O(n<sup>2</sup>+e), but the latter one is typically faster due to the
487 487
applied early termination scheme.
488 488
*/
489 489

	
490 490
/**
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@defgroup matching Matching Algorithms
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@ingroup algs
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\brief Algorithms for finding matchings in graphs and bipartite graphs.
494 494

	
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This group contains the algorithms for calculating
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matchings in graphs and bipartite graphs. The general matching problem is
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finding a subset of the edges for which each node has at most one incident
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edge.
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There are several different algorithms for calculate matchings in
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graphs.  The matching problems in bipartite graphs are generally
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easier than in general graphs. The goal of the matching optimization
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can be finding maximum cardinality, maximum weight or minimum cost
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matching. The search can be constrained to find perfect or
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maximum cardinality matching.
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The matching algorithms implemented in LEMON:
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- \ref MaxBipartiteMatching Hopcroft-Karp augmenting path algorithm
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  for calculating maximum cardinality matching in bipartite graphs.
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- \ref PrBipartiteMatching Push-relabel algorithm
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  for calculating maximum cardinality matching in bipartite graphs.
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- \ref MaxWeightedBipartiteMatching
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  Successive shortest path algorithm for calculating maximum weighted
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  matching and maximum weighted bipartite matching in bipartite graphs.
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- \ref MinCostMaxBipartiteMatching
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  Successive shortest path algorithm for calculating minimum cost maximum
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  matching in bipartite graphs.
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- \ref MaxMatching Edmond's blossom shrinking algorithm for calculating
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  maximum cardinality matching in general graphs.
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- \ref MaxWeightedMatching Edmond's blossom shrinking algorithm for calculating
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  maximum weighted matching in general graphs.
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- \ref MaxWeightedPerfectMatching
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  Edmond's blossom shrinking algorithm for calculating maximum weighted
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  perfect matching in general graphs.
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\image html bipartite_matching.png
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\image latex bipartite_matching.eps "Bipartite Matching" width=\textwidth
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\image html matching.png
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\image latex matching.eps "Bipartite Matching" width=\textwidth
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*/
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/**
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@defgroup graph_properties Connectivity and Other Graph Properties
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@ingroup algs
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\brief Algorithms for discovering the graph properties
534 534

	
535 535
This group contains the algorithms for discovering the graph properties
536 536
like connectivity, bipartiteness, euler property, simplicity etc.
537 537

	
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\image html connected_components.png
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\image latex connected_components.eps "Connected components" width=\textwidth
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*/
541 541

	
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/**
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@defgroup planar Planarity Embedding and Drawing
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@ingroup algs
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\brief Algorithms for planarity checking, embedding and drawing
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547 547
This group contains the algorithms for planarity checking,
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embedding and drawing.
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\image html planar.png
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\image latex planar.eps "Plane graph" width=\textwidth
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*/
553 553

	
554 554
/**
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@defgroup approx Approximation Algorithms
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@ingroup algs
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\brief Approximation algorithms.
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559 559
This group contains the approximation and heuristic algorithms
560 560
implemented in LEMON.
561 561
*/
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563 563
/**
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@defgroup auxalg Auxiliary Algorithms
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@ingroup algs
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\brief Auxiliary algorithms implemented in LEMON.
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568 568
This group contains some algorithms implemented in LEMON
569 569
in order to make it easier to implement complex algorithms.
570 570
*/
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572 572
/**
573 573
@defgroup gen_opt_group General Optimization Tools
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\brief This group contains some general optimization frameworks
575 575
implemented in LEMON.
576 576

	
577 577
This group contains some general optimization frameworks
578 578
implemented in LEMON.
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*/
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/**
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@defgroup lp_group LP and MIP Solvers
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@ingroup gen_opt_group
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\brief LP and MIP solver interfaces for LEMON.
585 585

	
586 586
This group contains LP and MIP solver interfaces for LEMON.
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Various LP solvers could be used in the same manner with this
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high-level interface.
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The currently supported solvers are \ref glpk, \ref clp, \ref cbc,
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\ref cplex, \ref soplex.
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