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A Unified Analysis of a Class of Proximal Bundle Methods for Solving Hybrid Convex Composite Optimiz...

A Unified Analysis of a Class of Proximal Bundle Methods for Solving Hybrid Convex Composite Optimiz...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3076689539

A Unified Analysis of a Class of Proximal Bundle Methods for Solving Hybrid Convex Composite Optimization Problems

About this item

Full title

A Unified Analysis of a Class of Proximal Bundle Methods for Solving Hybrid Convex Composite Optimization Problems

Publisher

Linthicum: INFORMS

Journal title

Mathematics of operations research, 2024-05, Vol.49 (2), p.832-855

Language

English

Formats

Publication information

Publisher

Linthicum: INFORMS

More information

Scope and Contents

Contents

This paper presents a proximal bundle (PB) framework based on a generic bundle update scheme for solving the hybrid convex composite optimization (HCCO) problem and establishes a common iteration-complexity bound for any variant belonging to it. As a consequence, iteration-complexity bounds for three PB variants based on different bundle update sch...

Alternative Titles

Full title

A Unified Analysis of a Class of Proximal Bundle Methods for Solving Hybrid Convex Composite Optimization Problems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3076689539

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3076689539

Other Identifiers

ISSN

0364-765X

E-ISSN

1526-5471

DOI

10.1287/moor.2023.1372

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