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Article detail · 2019

An introduction to non-smooth convex analysis via multiplicative derivative

JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE

YÖKSİS OpenAlex Open access · gold SJR Q2 JCR Q3 Citations 2 Percentile 49.9% FWCI 0.29
Year
2019
ISSN
1658-3655
Type
article

Data source split

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Abstract

English (OpenAlex)

In this study, *-directional derivative and *-subgradient are defined using the multiplicative derivative, making a new contribution to non-Newtonian calculus for use in non-smooth analysis. As for directional derivative and subgradient, which are used in the non-smooth optimization theory, basic definitions and preliminary facts related to optimization theory are stated and proved, and the *-subgradient concept is illustrated by providing some examples, such as absolute value and exponential functions. In addition, necessary and sufficient optimality conditions are obtained for convex problems.

Topics

  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Mathematical Inequalities and Applications

Primary topic Advanced Optimization Algorithms Research

Authors

  1. ALİ HAKAN TOR ABDULLAH GÜL ÜNİVERSİTESİ