Interpolation by conic model for unconstrained optimization

Name: Interpolation by conic model for unconstrained optimization
Creator: S. Sheng
Keywords: quasi-Newton methods, numerical examples, conic functions, Numerical mathematical programming methods, Nonlinear programming, conic model, 0211 other engineering and technologies, unconstrained optimization, q-superlinear convergence, 02 engineering and technology

S. Sheng

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Article . 1995 . Peer-reviewed

License: Springer TDM

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Article . 1995

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https://dx.doi.org/10.1007/bf0...

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Interpolation by conic model for unconstrained optimization

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1995 English Publisher:Springer Science and Business Media LLCJournal:Computing, volume 54, pages 83-98 (issn: 0010-485X, eissn: 1436-5057,

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Authors: S. Sheng;

doi: 10.1007/bf02238081

Interpolation by conic model for unconstrained optimization

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Abstract

A combination of quasi-Newton methods with conic functions for solving unconstrained optimization problems is described. The method is q- superlinearly convergent, and decreases the number of line searches. Numerical examples show that the new method is successful.

Related Organizations

Nanjing University
China (People's Republic of)
Nanjing University
China (People's Republic of)

Keywords

quasi-Newton methods, numerical examples, conic functions, Numerical mathematical programming methods, Nonlinear programming, conic model, unconstrained optimization, q-superlinear convergence, line searches

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