Algorithms of Nondifferentiable Optimization: Development and Application

Authors:
N. Z. Shor;N. G. Zhurbenko;A. P. Likhovid;P. I. Stetsyuk
Affiliations:
V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine nzshor@d120.icyb.kiev.ua;V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine zhurb@d120.icyb.kiev.ua;V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine;V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine stetsyuk@d120.icyb.kiev.ua
Venue:
Cybernetics and Systems Analysis
Year:
2003

Citing 2
Cited 5

Minimization methods for non-differentiable functions

Minimization methods for non-differentiable functions
Monotone Modifications of r-Algorithms and Their Applications

Cybernetics and Systems Analysis

Parameter Optimization Problems for Multilayer Optical Coatings

Cybernetics and Systems Analysis
An approach to determining Shor's dual quadratic estimates

Cybernetics and Systems Analysis
Connectionist weighted fuzzy logic programs

Neurocomputing
Adaptation of Connectionist Weighted Fuzzy Logic Programs with Kripke-Kleene Semantics

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Dual approaches to finite element model updating

Journal of Computational and Applied Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A brief survey of nondifferentiable optimization methods developed at the Institute of Cybernetics is presented: the subgradient method, the subgradient method with space dilatation in the subgradient direction, and the r-algorithm. Applications of nondifferentiable optimization methods are considered.