2004•Computational Optimization and ApplicationsRequires access

The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization

Zengxin Wei, Gaohang Yu, Gonglin Yuan, Zhigang Lian

Open publisher page 112 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 112 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Broyden–Fletcher–Goldfarb–Shanno algorithm, Mathematics, Convergence (economics), Quasi-Newton method, Matrix (chemical analysis), Applied mathematics, Mathematical optimization, Newton's method

Back to paper search Browse research topics Original source

The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization — Research Paper | ScholarLens