About: Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction     Goto   Sponge   NotDistinct   Permalink

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  • We present a number of contributions to the LP relaxation approach to weighted constraint satisfaction (Gibbs energy minimization). We generalize it to n-ary constraints in a simple and natural way. This includes a simple algorithm to minimize the LP-based upper bound, n-ary max-sum diffusion, we consider using other bound-optimizing algorithms as well. The diffusion iteration is tractable for a certain class of high-arity constraints represented as a black-box, which is analogical to propagators for global constraints CSP. Diffusion exactly solves permuted n-ary supermodular problems. A hierarchy of gradually tighter LP relaxations is obtained simply by adding various zero constraints and coupling them in various ways to existing constraints. Zero constraints can be added incrementally, which leads to a cutting plane algorithm. The separation problem is formulated as finding an unsatisfiable subproblem of a CSP.
  • We present a number of contributions to the LP relaxation approach to weighted constraint satisfaction (Gibbs energy minimization). We generalize it to n-ary constraints in a simple and natural way. This includes a simple algorithm to minimize the LP-based upper bound, n-ary max-sum diffusion, we consider using other bound-optimizing algorithms as well. The diffusion iteration is tractable for a certain class of high-arity constraints represented as a black-box, which is analogical to propagators for global constraints CSP. Diffusion exactly solves permuted n-ary supermodular problems. A hierarchy of gradually tighter LP relaxations is obtained simply by adding various zero constraints and coupling them in various ways to existing constraints. Zero constraints can be added incrementally, which leads to a cutting plane algorithm. The separation problem is formulated as finding an unsatisfiable subproblem of a CSP. (en)
Title
  • Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction
  • Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction (en)
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  • Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction
  • Revisiting the Linear Programming Relaxation Approach to Gibbs Energy Minimization and Weighted Constraint Satisfaction (en)
skos:notation
  • RIV/68407700:21230/10:00170728!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • R, Z(MSM6840770038)
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  • 8
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  • 285169
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  • RIV/68407700:21230/10:00170728
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  • weighted constraint satisfaction; Gibbs distribution; graphical model; Markov random field; linear programming relaxation; marginal polytope; cut polytope; cutting plane algorithm; global constraint; supermodularity; tree-reweighted max-product (en)
http://linked.open.../riv/klicoveSlovo
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  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [6280C25900B8]
http://linked.open...i/riv/nazevZdroje
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
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http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 32
http://linked.open...iv/tvurceVysledku
  • Werner, Tomáš
http://linked.open...ain/vavai/riv/wos
  • 000278858600009
http://linked.open...n/vavai/riv/zamer
issn
  • 0162-8828
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  • 21230
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