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The Statistical Physics of Energy Landscapes: From Spin Glasses to Optimization

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Computational Statistical Physics

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Summary

The concept of energy ‘landscapes’ leads to a unified understanding of phenomena in a number of different complex physical systems. All these systems are characterized by an energy function which possesses many local minima separated by barriers as a function of the state variables. If depicted graphically, such an energy function looks very much like a mountainous landscape. Typical examples of such complex systems are spin glasses which show a wealth of interesting relaxation phenomena, but also a number of industrially important minimization problems, which have a mountainous cost function landscape. These problems are intimately related by the thermally activated relaxation dynamics on complex energy landscapes.

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Authors
  1. Karl Heinz Hoffmann
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© 2002 Springer-Verlag Berlin Heidelberg

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Hoffmann, K.H. (2002). The Statistical Physics of Energy Landscapes: From Spin Glasses to Optimization. In: Computational Statistical Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04804-7_4

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  • DOI: https://doi.org/10.1007/978-3-662-04804-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-07571-1

  • Online ISBN: 978-3-662-04804-7

  • eBook Packages: Springer Book Archive

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