Large-Scale Scientific Computing
9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers
Published on 4. August 2014
Book
Paperback/Softback
XV, 654 pages
978-3-662-43879-4 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Large-Scale Scientific Computations, LSSC 2013, held in Sozopol, Bulgaria, in June 2013. The 74 revised full papers presented together with 5 plenary and invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on numerical modeling of fluids and structures; control and uncertain systems; Monte Carlo methods: theory, applications and distributed computing; theoretical and algorithmic advances in transport problems; applications of metaheuristics to large-scale problems; modeling and numerical simulation of processes in highly heterogeneous media; large-scale models: numerical methods, parallel computations and applications; numerical solvers on many-core systems; cloud and grid computing for resource-intensive scientific applications.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
173 s/w Abbildungen
XV, 654 p. 173 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 36 mm
Weight
1001 gr
ISBN-13
978-3-662-43879-4 (9783662438794)
DOI
10.1007/978-3-662-43880-0
Schweitzer Classification
Other editions
Additional editions
Ivan Lirkov | Svetozar Margenov | Jerzy Wasniewski
Large-Scale Scientific Computing
9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers
E-Book
06/2014
Springer
€53.49
Available for download
Content
Numerical modeling of fluids and structures.- Control and uncertain systems.- Monte Carlo methods: theory, applications and distributed computing.- Theoretical and algorithmic advances in transport problems.- Applications of metaheuristics to large-scale problems.- Modeling and numerical simulation of processes in highly heterogeneous media.- Large-scale models: numerical methods, parallel computations and applications.- Numerical solvers on many-core systems.- Cloud and grid computing for resource-intensive scientific applications.