Large-Scale Scientific Computing

11th International Conference, LSSC 2017, Sozopol, Bulgaria, June 5-9, 2017, Revised Selected Papers

  • Ivan Lirkov
  • Svetozar Margenov
Conference proceedings LSSC 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10665)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 10665)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Invited Papers

    1. Front Matter
      Pages 1-1
    2. J. H. Adler, I. Lashuk, S. P. MacLachlan, L. T. Zikatanov
      Pages 3-20
    3. U. Langer, M. Neumüller, I. Toulopoulos
      Pages 21-32
    4. G. Yin, C. Zhang, L. Y. Wang
      Pages 33-44
  3. Space-Time Methods for Solving Time-Dependent PDEs

  4. Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations

    1. Front Matter
      Pages 75-75
    2. Giordano Tierra, Francisco Guillén-González, María Ángeles Rodríguez-Bellido
      Pages 77-84
  5. Least-Squares Finite Element Methods

    1. Front Matter
      Pages 93-93
    2. Marc Gerritsma, Artur Palha
      Pages 103-110
    3. R. O. Hjort, B. Gervang
      Pages 111-118
    4. Artur Palha, Marc Gerritsma
      Pages 119-127
    5. Keunsoo Park, Marc Gerritsma, Maria Fernandino
      Pages 128-136
    6. Alexander Schwarz, Carina Nisters, Solveigh Averweg, Jörg Schröder
      Pages 137-144
  6. Advances in Heterogeneous Numerical Methods for Multi Physics Problems

    1. Front Matter
      Pages 145-145

About these proceedings

Introduction

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. 

Keywords

numerical methods problem solving artificial intelligence finite element method matrix algebra genetic algorithms parallel processing systems differential equations telecommunication networks adaptive control systems optimal control systems optimal control ad hoc networks routers processors evolutionary algorithms preconditioners differential inclusions simulated annealing

Editors and affiliations

  • Ivan Lirkov
    • 1
  • Svetozar Margenov
    • 2
  1. 1.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria
  2. 2.Institute of Information and Communication TechnologiesBulgarian Academy of SciencesSofiaBulgaria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-73441-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-73440-8
  • Online ISBN 978-3-319-73441-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book