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An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to...

An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1372654413

An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to Second-Order Methods

About this item

Full title

An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to Second-Order Methods

Publisher

Philadelphia: Society for Industrial and Applied Mathematics

Journal title

SIAM journal on optimization, 2013-01, Vol.23 (2), p.1092-1125

Language

English

Formats

Publication information

Publisher

Philadelphia: Society for Industrial and Applied Mathematics

More information

Scope and Contents

Contents

This paper presents an accelerated variant of the hybrid proximal extragradient (HPE) method for convex optimization, referred to as the accelerated HPE (A-HPE) framework. Iteration-complexity results are established for the A-HPE framework, as well as a special version of it, where a large stepsize condition is imposed. Two specific implementation...

Alternative Titles

Full title

An Accelerated Hybrid Proximal Extragradient Method for Convex Optimization and Its Implications to Second-Order Methods

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1372654413

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1372654413

Other Identifiers

ISSN

1052-6234

E-ISSN

1095-7189

DOI

10.1137/110833786

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