Mathieu Chapelle1 Frederic Mazoit2 Ioan Todinca1

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Constructing brambles Mathieu Chapelle1, Frederic Mazoit2, Ioan Todinca1 1LIFO – Universite d'Orleans 2LaBRI – Universite de Bordeaux I JGA'09 Montpellier 5–6 novembre 2009

  • tree-like decompositions

  • when restricted

  • brambles revisited

  • tree width

  • width

  • constructing brambles

  • used when


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Mathieu
Constructing brambles
Chapelle1Fr,d´´eicerozaMti2, Ioan
1LIFiverOUndeOis´tnaslre´ 2UnIBRLat´sierivedroBedeIxua
JGA’09 Montpellier 5–6 novembre 2009
Todinca1
hTdeglaetirooCmhradblembevsritisceitevsnclusionandpersp
The algorithm
Conclusion and perspectives
Tree-decompositions and brambles revisited
The problem
1/2-eerTmelborpehT0annsioitosmpcode
Tree-decompositions and brambles revisited
The problem
Conclusion and perspectives
The algorithm
compositmTree-deehrpboel22/T0orlgeaTheditisevrselbmarbdnasnoistivespecdpernonaulisoCcntimh
lemsprobhardlNP-pnloevidseloacbnrteainrlloiaomynetcirtsernehwemih,andglupapproactuoisnotsebus-lobaloollstaobaginfostausuoituoL.ntdgoarhpwstibhuonded-widths.
3/20
Tree-like decompositions
A popular technique used when dealing withN P-hard problems is todecomposethe input graph and then usedynamic programming.
heTborpTmel-eerocedulcnoCmhtiroglaetiecsperdpanonsibdarsnnatioipmsoedThisitsrevmbleevseuw-diht.,..lAwl,rank-width,cliq,htdnarbw-hchtdig.e.re:twie-sinapartesubdglu,hnargpatyehvilerscuresepoomecd:rovaemasniskrobottom-u;applyaopisitnoihdscemovegiytnbid-wisth;eeehtdnikrtfo
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A popular technique used when dealing withN P-hard problems is todecomposethe input graph and then usedynamic programming. e.g.:tree-width, branch-width, rank-width, clique-width, . . .
Tree-like decompositions
laroilenraitemhwenrestrictedtogrlborpdraebnacsmeinedlvsominolypobolaanlgitnoosulsofu.LotNP-hsual
alsufusootL-hNPdparblroscemebnavlosnideylopnomialorlineartiemhwneertsirtcdehsapgrtounbothwidiw-ded
All works in same flavor: decompose recursivelythe graph, and glue subparts in a kind of tree; the-width is given by this decomposition; apply abottom-upapproach, and glue sub-solutions to obtain a global solution.
A popular technique used when dealing withN P-hard problems is todecomposethe input graph and then usedynamic programming. e.g.:tree-width . ., branch-width, rank-width, clique-width, .
Tree-like decompositions
.shtsreptcvioiandnepmConclusalgorithetisehTdselbiverndsaambrsipoonticemoeed-merTorlbThep3/20se
3/2-eerTmelborpehT0annsioitosmpcodesitirsvebmelbdarhmCooritealgedThevsceitsionncluerspandp
Tree-like decompositions
A popular technique used when dealing withN P-hard problems is todecomposethe input graph and then usedynamic programming. e.g.:tree-width, branch-width, rank-width, clique-width, . . .
All works in same flavor: decompose recursivelythe graph, and glue subparts in a kind of tree; the-width is given by this decomposition; apply abottom-upapproach, and glue sub-solutions to obtain a global solution.
Lots of usualN P-hard problems can be solved in polynomial or linear time when restricted to graphs with bounded-widths.
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