Large-Scale Scientific Computing [electronic resource] : 10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015. Revised Selected Papers / edited by Ivan Lirkov, Svetozar D. Margenov, Jerzy Waśniewski.Material type: TextLanguage: English Series: Lecture Notes in Computer Science: 9374Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XIII, 444 p. 127 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319265209Subject(s): Computer science | Computers | Algorithms | Numerical analysis | Mathematical statistics | Computer simulation | Computer Science | Numeric Computing | Algorithm Analysis and Problem Complexity | Simulation and Modeling | Probability and Statistics in Computer Science | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 518 LOC classification: QA297-299.4Online resources: Click here to access online
Multilevel Methods on Graphs -- Mathematical Modeling and Analysis of PDEs Describing Physical Problems -- Numerical Methods for Multiphysics Problems -- Control and Uncertain Systems -- Enabling Exascale Computation -- Efficient Algorithms for Hybrid HPC Systems -- Applications of Metaheuristics to Large-Scale Problems -- Computational Microelectronics — from Monte Carlo to Deterministic Approaches -- Large-Scale Models: Numerical Methods, Paralell Computations and Applications. .
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Large-Scale Scientific Computations, LSSC 2015, held in Sozopol, Bulgaria, in June 2015. The 49 revised full papers presented were carefully reviewed and selected from 64 submissions. The general theme for LSSC 2015 was Large-Scale Scientific Computing with a particular focus on the organized special sessions: enabling exascale computation; control and uncertain systems; computational microelectronics - from monte carlo to deterministic approaches; numerical methods for multiphysics problems; large-scale models: numerical methods, parallel computations and applications; mathematical modeling and analysis of PDEs describing physical problems; a posteriori error control and iterative methods for maxwell type problems; efficient algorithms for hybrid HPC systems; multilevel methods on graphs; and applications of metaheuristics to large-scale problems.