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Research Article Open access CC BY 4.0

A Fourth-Order Nonlinear Conjugate Gradient Method in Equality Constrained Optimization

Nwaeze Emmanuel, Okpala Mmaduabuchi, Ozoigbo Gerald

Journal of Advances in Mathematics and Computer Science · pp. 1–16 · Published 15 Jul 2015

10.9734/BJMCS/2015/18695

Abstract

This paper presents a fourth-order nonlinear conjugate gradient method in equality constrained optimization. The idea is to transform the constrained problem into unconstrained type through the Lagrange multipliers scheme. Using four terms of Taylor series development, we approximate the transformed function (augmented Lagrange function). Lastly, we employ the new fourth-order nonlinear conjugate gradient method in equality constrained optimization to solve the optimization problem. We present the algorithm in steps and some properties of the gradients are proved, using classical results. Also, the convergence analysis has been proved under classical and known assumptions. Furthermore, we present the obtained numerical results and compare them to some existing results. The analysis of results confirms that the new method is accurate.

Fourth-order conjugate gradient method equality constrained optimization objective function nonlinear polynomial approximation Lagrange multipliers scheme

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