Presentation 2006-06-16
A method for searching local mimimum of free energy for which convergence is guaranteed.
Yukinori TONOSAKI, Yoshiyuki KABASHIMA,
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Abstract(in English) We investigate a method to search extensively many local minimum of an approximate free energy, which has been known as a technically difficult task. The proposed local search algorithm guarantees convergence to a local minimum of free energy when diagonal components of the Hessian of the given free energy are always positive. The method is applied to analysis of the 3-body spin glass model of low temperature.
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Keyword(in English) probablistic information processing / free enegy / spin glass
Paper # NC2006-27
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Committee NC
Conference Date 2006/6/9(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A method for searching local mimimum of free energy for which convergence is guaranteed.
Sub Title (in English)
Keyword(1) probablistic information processing
Keyword(2) free enegy
Keyword(3) spin glass
1st Author's Name Yukinori TONOSAKI
1st Author's Affiliation Department of Computational Intelligence and System Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Yoshiyuki KABASHIMA
2nd Author's Affiliation Department of Computational Intelligence and System Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Date 2006-06-16
Paper # NC2006-27
Volume (vol) vol.106
Number (no) 102
Page pp.pp.-
#Pages 6
Date of Issue