On Critical Point for Functions with Bounded Parameters
Optimization and Control
2019-07-24 v1
Abstract
Selection of descent direction at a point plays an important role in numerical optimization for minimizing a real valued function. In this article, a descent sequence is generated for the functions with bounded parameters to obtain a critical point. First, sufficient condition for the existence of descent direction is studied for this function and then a set of descent directions at a point is determined using linear expansion. Using these results a descent sequence of intervals is generated and critical point is characterized. This theoretical development is justified with numerical example.
Cite
@article{arxiv.1907.09940,
title = {On Critical Point for Functions with Bounded Parameters},
author = {Priyanka Roy and Geetanjali Panda},
journal= {arXiv preprint arXiv:1907.09940},
year = {2019}
}
Comments
12 pages, 1 figure, Presented in IEEE ICECCT 2019 and accepted in Proceeding of IEEE ICECCT 2019