1.

Record Nr.

UNINA9910349263003321

Titolo

Large-Scale Scientific Computing : 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

9783319734415

3319734415

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. .