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EXTENDED LEVENBERG-MARQUARDT METHOD FOR COMPOSITE FUNCTION MINIMIZATION

EXTENDED LEVENBERG-MARQUARDT METHOD FOR COMPOSITE FUNCTION MINIMIZATION

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_4208_jcm_1702_m2016_0699

EXTENDED LEVENBERG-MARQUARDT METHOD FOR COMPOSITE FUNCTION MINIMIZATION

About this item

Full title

EXTENDED LEVENBERG-MARQUARDT METHOD FOR COMPOSITE FUNCTION MINIMIZATION

Publisher

Chinese Academy of Mathematices and Systems Science (AMSS) Chinese Academy of Sciences

Journal title

Journal of computational mathematics, 2017-01, Vol.35 (4), p.529-546

Language

English

Formats

Publication information

Publisher

Chinese Academy of Mathematices and Systems Science (AMSS) Chinese Academy of Sciences

More information

Scope and Contents

Contents

In this paper, we propose an extended Levenberg-Marquardt (ELM) framework that generalizes the classic Levenberg-Marquardt (LM) method to solve the unconstrained minimization problem min ρ(r(x)), where r : Rn→ Rm and ρ : Rm → R. We also develop a few inexact variants which generalize ELM to the cases where the inner subproblem is not solved exactly...

Alternative Titles

Full title

EXTENDED LEVENBERG-MARQUARDT METHOD FOR COMPOSITE FUNCTION MINIMIZATION

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_4208_jcm_1702_m2016_0699

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_4208_jcm_1702_m2016_0699

Other Identifiers

ISSN

0254-9409

E-ISSN

1991-7139

DOI

10.4208/jcm.1702-m2016-0699

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