2014•Journal of Interdisciplinary MathematicsRequires access

A modified BFGS method for solving symmetric nonlinear equations

Narges Bidabadi

Open publisher page 2 citations

Abstract

Recently, several modification techniques have been introduced to the line search BFGS method for solving unconstrained optimization problems. We present a modified BFGS method for solving symmetric nonlinear equations. The numerical results show that the approach to be reliable and efficient.

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What this paper is about

Recently, several modification techniques have been introduced to the line search BFGS method for solving unconstrained optimization problems. We present a modified BFGS method for solving symmetric nonlinear equations. The numerical results show that the approach to be reliable and efficient.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Recently, several modification techniques have been introduced to the line search BFGS method for solving unconstrained optimization problems. We present a modified BFGS method for solving symmetric nonlinear equations. The numerical results show that the approach to be reliable and efficient.

Key concepts: Broyden–Fletcher–Goldfarb–Shanno algorithm, Quasi-Newton method, Nonlinear system, Mathematical optimization, Line search, Applied mathematics, Mathematics, Nonlinear programming

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