Skip to main content
SpringerLink
Log in

Parallel Computing in Optimization

  • Book
  • © 1997

Overview

Editors:
  1. Athanasios Migdalas

    1. Division of Optimization, Department of Mathematics, Linköping Institute of Technology, Linköping, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Panos M. Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Sverre Storøy

    1. Department of Informatics, University of Bergen, Bergen, Norway

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Applied Optimization (APOP, volume 7)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Models for Parallel Algorithm Design: An Introduction

    • Afonso Ferreira, Michel Morvan
    Pages 1-26

  3. Parallel Algorithms and Complexity

    • Martin Fürer
    Pages 27-55

  4. A Programmer’s View of Parallel Computers

    • Tor Sørevik
    Pages 57-72

  5. Scalable Parallel Algorithms for Sparse Linear Systems

    • Anshul Gupta, George Karypis, Vipin Kumar
    Pages 73-98

  6. Object Oriented Mathematical Modelling and Compilation to Parallel Code

    • Niclas Andersson, Peter Fritzson
    Pages 99-182

  7. Parallel Algorithms for Network Problems

    • Olof Damberg, Athanasios Migdalas, Sverre Storøy
    Pages 183-238

  8. Parallel Branch and Bound — Principles and Personal Experiences

    • Jens Clausen
    Pages 239-267

  9. Parallelized Heuristics for Combinatorial Search

    • K. Holmqvist, A. Migdalas, P. M. Pardalos
    Pages 269-294

  10. Parallel Cost Approximation Algorithms for Differentiable Optimization

    • Michael Patriksson
    Pages 295-341

  11. Parallel Computation of Variational Inequalities and Projected Dynamical Systems with Applications

    • Anna Nagurney
    Pages 343-411

  12. Parallel Algorithms for Large-Scale Stochastic Programming

    • Hercules Vladimirou, Stavros A. Zenios
    Pages 413-469

  13. Parallel Continuous Non-Convex Optimization

    • Kristina Holmqvist, Athanasios Migdalas, Panos M. Pardalos
    Pages 471-527

  14. Deterministic and Stochastic Logarithmic Barrier Function Methods for Neural Network Training

    • Theodore B. Trafalis, Tarek A. Tutunji
    Pages 529-574

  15. Back Matter

    Pages 575-587
    Download chapter PDF
Back to top

Keywords

About this book

During the last three decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, parallel computing has made it possible to solve larger and computationally more difficult prob­ lems. This volume contains mainly lecture notes from a Nordic Summer School held at the Linkoping Institute of Technology, Sweden in August 1995. In order to make the book more complete, a few authors were invited to contribute chapters that were not part of the course on this first occasion. The purpose of this Nordic course in advanced studies was three-fold. One goal was to introduce the students to the new achievements in a new and very active field, bring them close to world leading researchers, and strengthen their competence in an area with internationally explosive rate of growth. A second goal was to strengthen the bonds between students from different Nordic countries, and to encourage collaboration and joint research ventures over the borders. In this respect, the course built further on the achievements of the "Nordic Network in Mathematical Programming" , which has been running during the last three years with the support ofthe Nordic Council for Advanced Studies (NorFA). The final goal was to produce literature on the particular subject, which would be available to both the participating students and to the students of the "next generation" .

Editors and Affiliations

  • Division of Optimization, Department of Mathematics, Linköping Institute of Technology, Linköping, Sweden

    Athanasios Migdalas

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos M. Pardalos

  • Department of Informatics, University of Bergen, Bergen, Norway

    Sverre Storøy

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation