A Generalized Quasi-Newton Equation and Computational Experience

A Generalized Quasi-Newton Equation and Computational Experience

Year:    2006

Journal of Computational Mathematics, Vol. 24 (2006), Iss. 5 : pp. 665–674

Abstract

The quasi-Newton equation has played a central role in the quasi-Newton methods for solving systems of nonlinear equations and/or unconstrained optimization problems. Instead, Pan suggested a new equation, and showed that it is of the second order while the traditional of the first order, in certain approximation sense [12]. In this paper, we make a generalization of the two equations to include them as special cases. The generalized equation is analyzed, and new updates are derived from it. A DFP-like new update outperformed the traditional DFP update in computational experiments on a set of standard test problems.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2006-JCM-8782

Journal of Computational Mathematics, Vol. 24 (2006), Iss. 5 : pp. 665–674

Published online:    2006-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    10

Keywords:    System of nonlinear equations Unconstrained optimization Quasi-Newton equation Second-order Quasi-Newton equation Update formula.