Graph-Theoretic Concepts in Computer Science
portes grátis
Graph-Theoretic Concepts in Computer Science
48th International Workshop, WG 2022, Tuebingen, Germany, June 22-24, 2022, Revised Selected Papers
Bekos, Michael A.; Kaufmann, Michael
Springer International Publishing AG
10/2022
454
Mole
Inglês
9783031159138
15 a 20 dias
Descrição não disponível.
Design and analysis of sequential, parallel, randomized, parameterized algorithms. Distributed graph and network algorithms.- Structural graph theory with algorithmic or complexity applications.- Computational complexity of graph and network problems.- Graph grammars, graph rewriting systems and graph modeling.- Graph drawing and layouts.- Computational geometry.- Computational biology.- Graph mining.- Random graphs and models of the web and scale-free networks.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
approximation algorithms;approximation theory;artificial intelligence;bipartite graphs;computer networks;computer science;computer systems;directed graphs;engineering;general graph;graph g;graph theory;graphic methods;mathematics;planar graph;polynomial approximation;signal processing;theoretical computer science;vertex set;weighted graph
Design and analysis of sequential, parallel, randomized, parameterized algorithms. Distributed graph and network algorithms.- Structural graph theory with algorithmic or complexity applications.- Computational complexity of graph and network problems.- Graph grammars, graph rewriting systems and graph modeling.- Graph drawing and layouts.- Computational geometry.- Computational biology.- Graph mining.- Random graphs and models of the web and scale-free networks.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
approximation algorithms;approximation theory;artificial intelligence;bipartite graphs;computer networks;computer science;computer systems;directed graphs;engineering;general graph;graph g;graph theory;graphic methods;mathematics;planar graph;polynomial approximation;signal processing;theoretical computer science;vertex set;weighted graph