Graph Algorithms and Applications

The mixture of data in real-life exhibits structure or connection property in nature. Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships. Unfortunately, the related algor...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Format:	E-Book
Sprache:	Englisch
Veröffentlicht:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Schlagworte:	analysis and design or graph algorithms ancestral mixture model clique independent set clique transversal number cliques computational complexity of graph problems computational social choice Computer science Computing and Information Technology congestion games distance-hereditary graphs distributed graph and network algorithms Economics, Finance, Business and Management election control evolutionary tree experimental evaluation of graph algorithms forbidden subgraphs graph theory with algorithmic applications hole detection Industry and industrial studies influence maximization Information technology industries k-fold clique transversal set k-planarity Media, entertainment, information and communication industries minus clique transversal function mixture distance mixture tree multi-winner election NP-hardness paths phylogenetic tree planar graphs polynomial time reduction potential games price of anarchy price of stability pure Nash equilibrium recognition problem signed clique transversal function social influence stretch number tree comparison
ISBN:	9783036515410, 3036515410, 3036515429, 9783036515427
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!