1.

Record Nr.

UNINA9910484390403321

Titolo

Large-Scale Scientific Computing : 10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015. Revised Selected Papers / / edited by Ivan Lirkov, Svetozar D. Margenov, Jerzy Waśniewski

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015

ISBN

3-319-26520-2

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (XIII, 444 p. 127 illus. in color.)

Collana

Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 9374

Disciplina

502.85

Soggetti

Numerical analysis

Algorithms

Computer simulation

Computer science - Mathematics

Mathematical statistics

Computer science

Numerical Analysis

Computer Modelling

Probability and Statistics in Computer Science

Theory of Computation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

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. .

Sommario/riassunto

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.