Large-Scale Scientific Computing electronic resource 9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers / edited by Ivan Lirkov, Svetozar Margenov, Jerzy Waśniewski.
Material type: TextSeries: Lecture Notes in Computer SciencePublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XV, 654 p. 173 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783662438800Subject(s): Computer Science | Computer software | Electronic data processing | Computer simulation | Computer Science | Numeric Computing | Algorithm Analysis and Problem Complexity | Simulation and Modeling | Probability and Statistics in Computer ScienceDDC classification: 518 LOC classification: QA297-299.4Online resources: Click here to access onlineNumerical 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.
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.
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