1.

Record Nr.

UNISA996465763303316

Titolo

Large-Scale Scientific Computing [[electronic resource] ] : 11th International Conference, LSSC 2017, Sozopol, Bulgaria, June 5-9, 2017, Revised Selected Papers / / edited by Ivan Lirkov, Svetozar Margenov

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-73441-5

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XV, 610 p. 158 illus.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 10665

Disciplina

502.85

Soggetti

Algorithms

Numerical analysis

Computer science—Mathematics

Computer networks

Computer systems

Computers, Special purpose

Numerical Analysis

Mathematical Applications in Computer Science

Computer Communication Networks

Computer System Implementation

Special Purpose and Application-Based Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Space-Time Methods for Solving Time-Dependent PDEs.- Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations.- Least-Squares Finite Element Methods -- Advances in Heterogeneous Numerical Methods for Multi Physics Problems -- Advanced Numerical Methods for Nonlinear Elliptic Partial Differential Equations.- Control and Optimization of Dynamical Systems.- HPC and Big Data: Algorithms and Applications.- Toward Exascale Computation.- Application of Metaheuristics to Large-Scale Problems -- Large-Scale Models: Numerical Methods, Parallel Computations and Applications --



Large-Scale Numerical Computations for Sustainable Energy Production and Storage.  .

Sommario/riassunto

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Large-Scale Scientific Computations, LSSC 2017, held in Sozopol, Bulgaria, in June 2017. The 63 revised short papers together with  3 full papers presented were carefully reviewed and selected from 63 submissions. The conference presents results from the following topics:  Hierarchical, adaptive, domain decomposition and local refinement methods; Robust preconditioning algorithms; Monte Carlo methods and algorithms; Numerical linear algebra; Control and optimization; Parallel algorithms and performance analysis; Large-scale computations of environmental, biomedical and engineering problems. The chapter 'Parallel Aggregation Based on Compatible Weighted Matching for AMG' is available open access under a CC BY 4.0 license. .