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Heidelberg Colloquium on Glassy Dynamics

Proceedings of a Colloquium on Spin Glasses, Optimization and Neural Networks Held at the University of Heidelberg June 9–13, 1986

  • Editors
  • J. L. van Hemmen
  • I. Morgenstern

Part of the Lecture Notes in Physics book series (LNP, volume 275)

Table of contents

  1. Front Matter
  2. P. Granberg, P. Svedlindh, P. Nordblad, L. Lundgren
    Pages 40-50
  3. H. v. Löhneysen, R. van den Berg, J. Wosnitza, G. V. Lecomte, U. Krey, W. Zinn
    Pages 51-59
  4. M. Maglione, U. T. Höchli, J. Joffrin
    Pages 84-93
  5. S. Hunklinger
    Pages 94-120
  6. A J Bray, M A Moore
    Pages 121-153
  7. K. Binder, D. W. Heermann, A. Milchev, A. Sadiq
    Pages 154-189
  8. R. N. Bhatt, A. P. Young
    Pages 215-236
  9. C. De Dominicis, P. Mottishaw
    Pages 237-237
  10. M. Mézard, N. Sourlas, G. Toulouse
    Pages 238-248
  11. C. De Dominicis, M. Schreckenberg
    Pages 255-274
  12. R. G. Palmer
    Pages 275-286
  13. Emile H. L. Aarts, Peter J. M. van Laarhoven
    Pages 287-306
  14. Gary S. Grest, C. M. Soukoulis, K. Levin, R. E. Randelman
    Pages 307-324
  15. M. Grötschel, M. Jünger, G. Reinelt
    Pages 325-353
  16. M. Mézard
    Pages 354-372
  17. I. Guyon, L. Personnaz, P. Siarry, G. Dreyfus
    Pages 373-397
  18. I. Morgenstern
    Pages 399-427
  19. Wolfgang Kinzel
    Pages 529-537
  20. J. A. Hertz, G. Grinstein, S. A. Solla
    Pages 538-546
  21. G. Toulouse
    Pages 569-576
  22. Back Matter

About these proceedings

Introduction

This book contains most of the invited contributions to the Heidelberg Colloquium on Glassy Dynamics, held in June 1986 and covering the three topics: spin glasses, optimization and neural networks. It includes experimental papers on spin glasses and glasses as well as theoretical work on the spin-glass transition, the description of the spin-glass phase, and slow relaxation phenomena. New techniques for solving combinatorial optimization problems are presented with particular emphasis placed on simulated annealing. Finally, a comprehensive review of the statistical mechanics of neural networks is given. The thorough and partly review-like treatment of the various topics makes this book indispensable reading for researchers and graduate students in physics, biophysics and optimization with special interest in magnetic systems, glasses and brain research, repectively. N

Keywords

biophysics low temperature magnetic fields mechanics neural network temperature

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0057505
  • Copyright Information Springer-Verlag 1987
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-17777-7
  • Online ISBN 978-3-540-47819-5
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
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