A Limited Memory BFGS Method for Solving Large-Scale Symmetric Nonlinear Equations

Xiangrong Li, Xiaoliang Wang and Xiabin Duan

Abstract and Applied Analysis, 2014, vol. 2014, 1-9

Abstract:

A limited memory BFGS (L-BFGS) algorithm is presented for solving large-scale symmetric nonlinear equations, where a line search technique without derivative information is used. The global convergence of the proposed algorithm is established under some suitable conditions. Numerical results show that the given method is competitive to those of the normal BFGS methods.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:716019

DOI: 10.1155/2014/716019

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