Equivalence between some dynamical systems for optimization

Kiichi Urahama

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Potts neural networks for combinatorial optimization and interior point methods for nonlinear programming have common formulation of their dynamics. This unification of these algorithms leads us to possibility for real time solution of these problems with common analog electronic circuits.

Original languageEnglish
Pages (from-to)14-17
Number of pages4
JournalNeural Processing Letters
Issue number2
Publication statusPublished - Jun 1994
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • General Neuroscience
  • Computer Networks and Communications
  • Artificial Intelligence


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