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Large Scale Optimization

State of the Art

Editors: Hager, William W., Hearn, D.W., Pardalos, Panos M. (Eds.)

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About this book

On February 15-17, 1993, a conference on Large Scale Optimization, hosted by the Center for Applied Optimization, was held at the University of Florida. The con­ ference was supported by the National Science Foundation, the U. S. Army Research Office, and the University of Florida, with endorsements from SIAM, MPS, ORSA and IMACS. Forty one invited speakers presented papers on mathematical program­ ming and optimal control topics with an emphasis on algorithm development, real world applications and numerical results. Participants from Canada, Japan, Sweden, The Netherlands, Germany, Belgium, Greece, and Denmark gave the meeting an important international component. At­ tendees also included representatives from IBM, American Airlines, US Air, United Parcel Serice, AT & T Bell Labs, Thinking Machines, Army High Performance Com­ puting Research Center, and Argonne National Laboratory. In addition, the NSF sponsored attendance of thirteen graduate students from universities in the United States and abroad. Accurate modeling of scientific problems often leads to the formulation of large­ scale optimization problems involving thousands of continuous and/or discrete vari­ ables. Large scale optimization has seen a dramatic increase in activities in the past decade. This has been a natural consequence of new algorithmic developments and of the increased power of computers. For example, decomposition ideas proposed by G. Dantzig and P. Wolfe in the 1960's, are now implement able in distributed process­ ing systems, and today many optimization codes have been implemented on parallel machines.

Table of contents (21 chapters)

  • Restarting Strategies for the DQA Algorithm

    Berger, Adam J. (et al.)

    Pages 1-25

  • Mathematical Equivalence of the Auction Algorithm for Assignment and the ∊-Relaxation (Preflow-Push) Method for Min Cost Flow

    Bertsekas, Dimitri P.

    Pages 26-44

  • Preliminary Computational Experience with Modified Log-Barrier Functions for Large-Scale Nonlinear Programming

    Breitfeld, Marc G. (et al.)

    Pages 45-67

  • A New Stochastic/Perturbation Method for Large-Scale Global Optimization and its Application to Water Cluster Problems

    Byrd, Richard H. (et al.)

    Pages 68-81

  • Improving the Decomposition of Partially Separable Functions in the Context of Large-Scale Optimization: a First Approach

    Conn, Andrew R. (et al.)

    Pages 82-94

Buy this book

eBook $249.00
price for USA (gross)
  • ISBN 978-1-4613-3632-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $315.00
price for USA
  • ISBN 978-0-7923-2798-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $315.00
price for USA
  • ISBN 978-1-4613-3634-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Large Scale Optimization
Book Subtitle
State of the Art
Editors
  • William W. Hager
  • D.W. Hearn
  • Panos M. Pardalos
Copyright
1994
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4613-3632-7
DOI
10.1007/978-1-4613-3632-7
Hardcover ISBN
978-0-7923-2798-1
Softcover ISBN
978-1-4613-3634-1
Edition Number
1
Number of Pages
XIV, 456
Topics