Review




Structured Review

CH Instruments tree decomposition
Graph G (left), a TD <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}$$\end{document} of graph G (right).
Tree Decomposition, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/tree decomposition/product/CH Instruments
Average 90 stars, based on 1 article reviews
tree decomposition - by Bioz Stars, 2026-05
90/100 stars

Images

1) Product Images from "Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology"

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

doi: 10.1007/978-3-030-51825-7_25

Graph G (left), a TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}$$\end{document} of graph G (right).
Figure Legend Snippet: Graph G (left), a TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}$$\end{document} of graph G (right).

Techniques Used:

Tables obtained by \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\textsc {Sat}_t$$\end{document} on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}_{\text {nice}}$$\end{document} for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} of Example .
Figure Legend Snippet: Tables obtained by \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\textsc {Sat}_t$$\end{document} on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}_{\text {nice}}$$\end{document} for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} of Example .

Techniques Used:

Selected tables obtained by nested DP on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}'$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x,y\}}$$\end{document} (left) and on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}''$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x\}}$$\end{document} (right) for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} and projection variables \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=\{x,y\}$$\end{document} of Example via \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathtt {HybDP}_{\textsc {\#}\exists \textsc {Sat}_t}$$\end{document} .
Figure Legend Snippet: Selected tables obtained by nested DP on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}'$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x,y\}}$$\end{document} (left) and on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}''$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x\}}$$\end{document} (right) for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} and projection variables \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=\{x,y\}$$\end{document} of Example via \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathtt {HybDP}_{\textsc {\#}\exists \textsc {Sat}_t}$$\end{document} .

Techniques Used:

Cactus plot of instances for #Sat , where instances (x-axis) are ordered for each solver individually by runtime[seconds] (y-axis). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=38$$\end{document} .
Figure Legend Snippet: Cactus plot of instances for #Sat , where instances (x-axis) are ordered for each solver individually by runtime[seconds] (y-axis). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=38$$\end{document} .

Techniques Used:

Number of solved \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} insts., grouped by upper bound intervals of treewidth (left), cactus plot (right). time[h] is cumulated wall clock time, timeouts count as 900 s. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}\,{=}\,8$$\end{document} .
Figure Legend Snippet: Number of solved \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} insts., grouped by upper bound intervals of treewidth (left), cactus plot (right). time[h] is cumulated wall clock time, timeouts count as 900 s. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}\,{=}\,8$$\end{document} .

Techniques Used:

Scatter plot of instances for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} , where the x-axis shows runtime in seconds of nestHDB compared to the y-axis showing runtime of projMC (left) and of ganak (right). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=8$$\end{document} .
Figure Legend Snippet: Scatter plot of instances for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} , where the x-axis shows runtime in seconds of nestHDB compared to the y-axis showing runtime of projMC (left) and of ganak (right). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=8$$\end{document} .

Techniques Used:



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Image Search Results


Graph G (left), a TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}$$\end{document} of graph G (right).

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Graph G (left), a TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}$$\end{document} of graph G (right).

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

Tables obtained by \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\textsc {Sat}_t$$\end{document} on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}_{\text {nice}}$$\end{document} for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} of Example .

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Tables obtained by \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\textsc {Sat}_t$$\end{document} on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}_{\text {nice}}$$\end{document} for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} of Example .

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

Selected tables obtained by nested DP on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}'$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x,y\}}$$\end{document} (left) and on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}''$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x\}}$$\end{document} (right) for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} and projection variables \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=\{x,y\}$$\end{document} of Example via \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathtt {HybDP}_{\textsc {\#}\exists \textsc {Sat}_t}$$\end{document} .

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Selected tables obtained by nested DP on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{T}'$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x,y\}}$$\end{document} (left) and on TD \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}''$$\end{document} of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N_\varphi ^{\{x\}}$$\end{document} (right) for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varphi $$\end{document} and projection variables \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=\{x,y\}$$\end{document} of Example via \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathtt {HybDP}_{\textsc {\#}\exists \textsc {Sat}_t}$$\end{document} .

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

Cactus plot of instances for #Sat , where instances (x-axis) are ordered for each solver individually by runtime[seconds] (y-axis). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=38$$\end{document} .

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Cactus plot of instances for #Sat , where instances (x-axis) are ordered for each solver individually by runtime[seconds] (y-axis). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=38$$\end{document} .

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

Number of solved \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} insts., grouped by upper bound intervals of treewidth (left), cactus plot (right). time[h] is cumulated wall clock time, timeouts count as 900 s. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}\,{=}\,8$$\end{document} .

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Number of solved \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} insts., grouped by upper bound intervals of treewidth (left), cactus plot (right). time[h] is cumulated wall clock time, timeouts count as 900 s. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}\,{=}\,8$$\end{document} .

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

Scatter plot of instances for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} , where the x-axis shows runtime in seconds of nestHDB compared to the y-axis showing runtime of projMC (left) and of ganak (right). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=8$$\end{document} .

Journal: Theory and Applications of Satisfiability Testing – SAT 2020

Article Title: Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

doi: 10.1007/978-3-030-51825-7_25

Figure Lengend Snippet: Scatter plot of instances for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textsc {\#}\exists \textsc {Sat}$$\end{document} , where the x-axis shows runtime in seconds of nestHDB compared to the y-axis showing runtime of projMC (left) and of ganak (right). \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {threshold}_{\text {abstr}}=8$$\end{document} .

Article Snippet: Compute (some) tree decomposition \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {T}=(T,\chi )$$\end{document} of G . Traverse the nodes of T in post-order (bottom-up tree traversal of T ).

Techniques:

( a ) Source signal. ( b ) Entropy (Shannon) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Shannon) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Log Energy) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Log Energy) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Threshold, p = 0.005) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Threshold, p = 0.005) vs. decomposition level, wavelet (Daubechies) basis. ( c ) Approximation error vs. decomposition level, wavelet (Daubechies) basis. ( d ) Execution time vs. decomposition level, wavelet (Daubechies) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (SURE, p = 0.005) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (SURE, p = 0.005) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

( a ) Source signal. ( b ) Entropy (Norm, p = 2) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: ( a ) Source signal. ( b ) Entropy (Norm, p = 2) vs. decomposition level, wavelet (Meyer) basis. ( c ) Approximation error vs. decomposition level, wavelet (Meyer) basis. ( d ) Execution time vs. decomposition level, wavelet (Meyer) basis. ( e ) Approximation error vs. decomposition level, extended basis. ( f ) Execution time vs. decomposition level, extended basis.

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques:

Proposed algorithm (optimization, first value) vs. maximum level  decomposition  (no optimization, second value).

Journal: Entropy

Article Title: Optimal Estimation of Wavelet Decomposition Level for a Matching Pursuit Algorithm

doi: 10.3390/e21090843

Figure Lengend Snippet: Proposed algorithm (optimization, first value) vs. maximum level decomposition (no optimization, second value).

Article Snippet: To optimize the packet wavelet decomposition tree in MATLAB, two optimization functions based on different entropy criteria were presented [ , ].

Techniques: