TY  - BOOK
AU  - Lirkov,Ivan
AU  - Margenov,Svetozar
AU  - Waśniewski,Jerzy
ED  - SpringerLink (Online service)
TI  - Large-Scale Scientific Computing: 9th International Conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783662438800
AV  - QA297-299.4 
U1  - 518 23
PY  - 2014///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer Science
KW  - Computer software
KW  - Electronic data processing
KW  - Computer simulation
KW  - Numeric Computing
KW  - Algorithm Analysis and Problem Complexity
KW  - Simulation and Modeling
KW  - Probability and Statistics in Computer Science
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-662-43880-0
ER  -