TY - BOOK AU - Lirkov,Ivan AU - Margenov,Svetozar D. AU - Waśniewski,Jerzy ED - SpringerLink (Online service) TI - Large-Scale Scientific Computing: 10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015. Revised Selected Papers T2 - Information Systems and Applications, incl. Internet/Web, and HCI SN - 9783319265209 AV - QA297-299.4 U1 - 518 23 PY - 2015/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Numerical analysis KW - Algorithms KW - Computer simulation KW - Mathematical statistics KW - Computers KW - Numeric Computing KW - Algorithm Analysis and Problem Complexity KW - Simulation and Modeling KW - Probability and Statistics in Computer Science KW - Computation by Abstract Devices N1 - 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. N2 - 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 UR - https://doi.org/10.1007/978-3-319-26520-9 ER -