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An exact penalty approach for optimization with nonnegative orthogonality constraints

An exact penalty approach for optimization with nonnegative orthogonality constraints

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778647037

An exact penalty approach for optimization with nonnegative orthogonality constraints

About this item

Full title

An exact penalty approach for optimization with nonnegative orthogonality constraints

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Mathematical programming, 2023-03, Vol.198 (1), p.855-897

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Optimization with nonnegative orthogonality constraints has wide applications in machine learning and data sciences. It is NP-hard due to some combinatorial properties of the constraints. We first propose an equivalent optimization formulation with nonnegative and multiple spherical constraints and an additional single nonlinear constraint. Various...

Alternative Titles

Full title

An exact penalty approach for optimization with nonnegative orthogonality constraints

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2778647037

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778647037

Other Identifiers

ISSN

0025-5610

E-ISSN

1436-4646

DOI

10.1007/s10107-022-01794-8

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