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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;…mehr
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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Inhaltsangabe
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.
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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