A q-gradient descent algorithm with quasi-fejer convergence for unconstrained optimization problems

A q-gradient descent algorithm with quasi-fejer convergence for unconstrained optimization problems

We present an algorithm for solving unconstrained optimization problems based on the q-gradient vector. The main idea used in the algorithm construction is the approximation of the classical gradient by a q-gradient vector. For a convex objective function, the quasi-Fejer convergence of the algorith...

Full description

Saved in:
Bibliographic Details
Main Authors: Mishra, Shashi Kant, Rajkovic, Predrag, Samei, Mohammad Esmael, Chakraborty, Suvra Kanti, Ram, Bhagwat, Kaabar, Mohammed K. A.
Format: Article
Published: MDPI 2021
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://eprints.um.edu.my/28187/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaya

Internet

http://eprints.um.edu.my/28187/

Similar Items