Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2015
Genre:	Schulbücher
	Algorithm Analysis and Problem Complexity / Algorithmen und Datenstrukturen / Algorithms / Algorithms & data structures / C / Computation by Abstract Devices / Computer Modelling / Computer modelling & simulation / computer science / Computer simulation / Computermodellierung und -simulation / Computers / Mathematical & statistical software / Mathematical statistics / Mathematical theory of computation / Mathematik für Informatiker / Maths for computer scientists / Numeric Computing / Numerical analysis / Probability and Statistics in Computer Science / Simulation and Modeling / solvers / Theoretische Informatik / Theory of Computation / Wahrscheinlichkeitsrechnung und Statistik mehr...
ISBN:	9783319265193
EAN-Code:	9783319265193
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Information Systems and Applications, incl. Internet/Web, and HCI #9374 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6905 gr
Seiten:	444
Illustration:	XIII, 444 p. 127 illus. in color., farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Large-Scale Scientific Computations, LSSC 2015, held in Sozopol, Bulgaria, in June 2015. The 49 revised full papers presented were carefully reviewed and selected from 64 submissions. The general theme for LSSC 2015 was Large-Scale Scientific Computing with a particular focus on the organized special sessions: enabling exascale computation; control and uncertain systems; computational microelectronics - from monte carlo to deterministic approaches; numerical methods for multiphysics problems; large-scale models: numerical methods, parallel computations and applications; mathematical modeling and analysis of PDEs describing physical problems; a posteriori error control and iterative methods for maxwell type problems; efficient algorithms for hybrid HPC systems; multilevel methods on graphs; and applications of metaheuristics to large-scale problems.