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A review of solvability of inequality-constrained optimization problems with non-linear functions

Year: 2025

Type: article

Abstract: In this paper, we review techniques for solving inequality-constrained optimization problems with non-linear functions, emphasizing the Kuhn-Tucker (KT) method. The paper reviews their solvability ability as employed in solving inequality-constrained optimization problems. The necessary optimality conditions for obtaining optimal solutions for inequality-constrained problems are stated and discussed in this paper. The method of Kuhn-Tucker (KT) was used in solving for optimal solution of the inequality-constraints problem.

Source: World Journal of Advanced Research and Reviews

DOI: 10.5281/zenodo.17192062

Authors: Efor, Theresa Ebele, Chijioke, Chiamaka Nnenna

Institution: Ebonyi State University

Language: English

Topic: Optimization and Variational Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7083182843

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