A review of solvability of inequality-constrained optimization problems with non-linear functions
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.
Institutions
- Ebonyi State University (NG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-30
- DOI
- https://doi.org/10.5281/zenodo.17192063
- Primary Topic
- History of Computing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00