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Record Nr. |
UNINA9910485045603321 |
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Titolo |
Large-Scale Scientific Computing : 9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers / / edited by Ivan Lirkov, Svetozar Margenov, Jerzy Waśniewski |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XV, 654 p. 173 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8353 |
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Disciplina |
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Soggetti |
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Numerical analysis |
Algorithms |
Computer simulation |
Computer science - Mathematics |
Mathematical statistics |
Numerical Analysis |
Computer Modelling |
Probability and Statistics in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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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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