EQUIVALENCE BETWEEN SOME DYNAMICAL-SYSTEMS FOR OPTIMIZATION

被引：0

作者：

URAHAMA, K

机构：

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 1995年 / E78A卷 / 02期

关键词：

PROBABILISTIC RELAXATION; POTTS NEURAL NETWORKS; INTERIOR POINT METHOD;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is shown by the derivation of solution methods for an elementary optimization problem that the stochastic relaxation in image analysis, the Ports 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.

引用

页码：268 / 271

页数：4

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