• Media type: E-Book
  • Title: Large-Scale Scientific Computing : 11th International Conference, LSSC 2017, Sozopol, Bulgaria, June 5-9, 2017, Revised Selected Papers
  • Contributor: Lirkov, Ivan [Editor]; Margenov, Svetozar [Editor]
  • Published: Cham: Springer, 2018
  • Published in: Lecture notes in computer science ; 10665
    Bücher
    Computer Science
  • Extent: Online-Ressource (XV, 610 p. 158 illus, online resource)
  • Language: English
  • DOI: 10.1007/978-3-319-73441-5
  • ISBN: 9783319734415
  • Identifier:
  • Keywords: Wissenschaftliches Rechnen
  • Origination:
  • Footnote:
  • Description: 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.

    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.