9786131155048 - Tree Decomposition: Graph Theory, Graph (Mathematics), Tree (Graph Theory), NP-hard, Machine Learning, Junction Tree Algorithm (4 Ergebnisse)

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! In graph theory, a tree decomposition is a mapping of a graph into a tree that can be used to speed up solving certain problems on the original graph. The treewidth measures the number of graph vertices mapped onto any tree node in an optimal tree decomposition. While it is NP-hard to determine the treewidth of a graph, many NP-hard combinatorial problems on graphs are solvable in polynomial time when restricted to graphs of bounded treewidth.In machine learning, tree decompositions are also called junction trees, clique trees, or join trees; they play an important role in problems like probabilistic inference, constraint satisfaction, query optimization, and matrix decomposition.The concept of tree decompositions and treewidth was introduced by Robertson & Seymour (1984) and has since been studied by many other authors. 104 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In graph theory, a tree decomposition is a mapping of a graph into a tree that can be used to speed up solving certain problems on the original graph. The treewidth measures the number of graph vertices mapped onto any tree node in an optimal tree decomposition. While it is NP-hard to determine the treewidth of a graph, many NP-hard combinatorial problems on graphs are solvable in polynomial time when restricted to graphs of bounded treewidth.In machine learning, tree decompositions are also called junction trees, clique trees, or join trees; they play an important role in problems like probabilistic inference, constraint satisfaction, query optimization, and matrix decomposition.The concept of tree decompositions and treewidth was introduced by Robertson & Seymour (1984) and has since been studied by many other authors.

Taschenbuch. Zustand: Neu. Tree Decomposition | Graph Theory, Graph (Mathematics), Tree (Graph Theory), NP-hard, Machine Learning, Junction Tree Algorithm | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131155048 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -High Quality Content by WIKIPEDIA articles! In graph theory, a treedecomposition is a mapping of a graph into a tree that can be used tospeed up solving certain problems on the original graph. The treewidthmeasures the number of graph vertices mapped onto any tree node in anoptimal tree decomposition. While it is NP-hard to determine thetreewidth of a graph, many NP-hard combinatorial problems on graphs aresolvable in polynomial time when restricted to graphs of boundedtreewidth.In machine learning, tree decompositions are also calledjunction trees, clique trees, or join trees; they play an important rolein problems like probabilistic inference, constraint satisfaction, queryoptimization, and matrix decomposition.The concept of treedecompositions and treewidth was introduced by Robertson & Seymour(1984) and has since been studied by many other authors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.