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On a New Optimization Method With Constraints

Bouchta Rhanizar

Journal of Mathematics Research, 2020, vol. 12, issue 5, 27

Abstract: We consider the constrained optimization problem defined by- $$f(x^*) = \min_{x \in X} f(x) \eqno (1)$$ where the function $f$ - $ \pmb{\mathbb{R}}^{n} \longrightarrow \pmb{\mathbb{R}}$ is convex on a closed convex set X. In this work, we will give a new method to solve problem (1) without bringing it back to an unconstrained problem. We study the convergence of this new method and give numerical examples.

JEL-codes: R00 Z0 (search for similar items in EconPapers)
Date: 2020
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Handle: RePEc:ibn:jmrjnl:v:12:y:2020:i:5:p:27