Vai al contenuto principale della pagina

Graph-based modelling in science, technology and art / / Stanisław Zawiślak, Jacek Rysiński, editors



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Titolo: Graph-based modelling in science, technology and art / / Stanisław Zawiślak, Jacek Rysiński, editors Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2022]
©2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (X, 310 p. 180 illus., 84 illus. in color.)
Disciplina: 519.5
Soggetto topico: Graphical modeling (Statistics)
Graph theory
Persona (resp. second.): ZawiślakStanisław
RysińskiJacek
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Graph-based modeling in technology especially in mechanical engineering and logistics -- Graph based-modelling in science especially in medicine and chemistry -- Graph-based modeling in art, design and network modeling.
Sommario/riassunto: This book presents interdisciplinary, cutting-edge and creative applications of graph theory and modeling in science, technology, architecture and art. Topics are divided into three parts: the first one examines mechanical problems related to gears, planetary gears and engineering installations; the second one explores graph-based methods applied to medical analyses as well as biological and chemical modeling; and the third part includes various topics e.g. drama analysis, aiding of design activities and network visualisation. The authors represent several countries in Europe and America, and their contributions show how different, useful and fruitful the utilization of graphs in modelling of engineering systems can be. The book has been designed to serve readers interested in the subject of graph modelling and those with expertise in related areas, as well as members of the worldwide community of graph modelers.
Titolo autorizzato: Graph-Based Modelling in Science, Technology and Art  Visualizza cluster
ISBN: 3-030-76787-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910523807003321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Mechanisms and machine science ; ; Volume 107.