Computing Conjugate Barrier Information for Nonsymmetric Cones

Abstract The recent interior point algorithm by Dahl and Andersen [10] for nonsymmetric cones as well as earlier works [18, 21] require derivative information from the conjugate of the barrier function of the cones in the problem. Besides a few special cases, there is no indication of w...

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Main Authors: Kapelevich, Lea, Andersen, Erling D., Vielma, Juan P.
Other Authors: Massachusetts Institute of Technology. Operations Research Center
Format: Article
Language:English
Published: Springer US 2022
Online Access:https://hdl.handle.net/1721.1/144398
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author Kapelevich, Lea
Andersen, Erling D.
Vielma, Juan P.
author2 Massachusetts Institute of Technology. Operations Research Center
author_facet Massachusetts Institute of Technology. Operations Research Center
Kapelevich, Lea
Andersen, Erling D.
Vielma, Juan P.
author_sort Kapelevich, Lea
collection MIT
description Abstract The recent interior point algorithm by Dahl and Andersen [10] for nonsymmetric cones as well as earlier works [18, 21] require derivative information from the conjugate of the barrier function of the cones in the problem. Besides a few special cases, there is no indication of when this information is efficient to evaluate. We show how to compute the gradient of the conjugate barrier function for seven useful nonsymmetric cones. In some cases, this is helpful for deriving closed-form expressions for the inverse Hessian operator for the primal barrier.
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spelling mit-1721.1/1443982023-01-09T21:18:22Z Computing Conjugate Barrier Information for Nonsymmetric Cones Kapelevich, Lea Andersen, Erling D. Vielma, Juan P. Massachusetts Institute of Technology. Operations Research Center Sloan School of Management Abstract The recent interior point algorithm by Dahl and Andersen [10] for nonsymmetric cones as well as earlier works [18, 21] require derivative information from the conjugate of the barrier function of the cones in the problem. Besides a few special cases, there is no indication of when this information is efficient to evaluate. We show how to compute the gradient of the conjugate barrier function for seven useful nonsymmetric cones. In some cases, this is helpful for deriving closed-form expressions for the inverse Hessian operator for the primal barrier. 2022-08-22T12:59:31Z 2022-08-22T12:59:31Z 2022-08-20 2022-08-21T03:10:48Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144398 Kapelevich, Lea, Andersen, Erling D. and Vielma, Juan P. 2022. "Computing Conjugate Barrier Information for Nonsymmetric Cones." PUBLISHER_CC en https://doi.org/10.1007/s10957-022-02076-1 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer US Springer US
spellingShingle Kapelevich, Lea
Andersen, Erling D.
Vielma, Juan P.
Computing Conjugate Barrier Information for Nonsymmetric Cones
title Computing Conjugate Barrier Information for Nonsymmetric Cones
title_full Computing Conjugate Barrier Information for Nonsymmetric Cones
title_fullStr Computing Conjugate Barrier Information for Nonsymmetric Cones
title_full_unstemmed Computing Conjugate Barrier Information for Nonsymmetric Cones
title_short Computing Conjugate Barrier Information for Nonsymmetric Cones
title_sort computing conjugate barrier information for nonsymmetric cones
url https://hdl.handle.net/1721.1/144398
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