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Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems
We introduce a new variant of Chubanov's method for solving linear homogeneous systems with positive variables. In the Basic Procedure we use a recently introduced cut in combination with Nemirovski's Mirror-Prox method. We show that the cut requires at most time, just as Chubanov's c...
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Published in: | Optimization methods & software 2022-07, Vol.37 (4), p.1447-1470 |
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description | We introduce a new variant of Chubanov's method for solving linear homogeneous systems with positive variables. In the Basic Procedure we use a recently introduced cut in combination with Nemirovski's Mirror-Prox method. We show that the cut requires at most
time, just as Chubanov's cut. In an earlier paper it was shown that the new cuts are at least as sharp as those of Chubanov. Our Modified Main Algorithm is in essence the same as Chubanov's Main Algorithm, except that it uses the new Basic Procedure as a subroutine. The new method has
time complexity, where
is a suitably defined condition number. As we show, a simplified version of the new Basic Procedure competes well with the Smooth Perceptron Scheme of Peña and Soheili and, when combined with Rescaling, also with two commercial codes for linear optimization. |
doi_str_mv | 10.1080/10556788.2021.2023523 |
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time, just as Chubanov's cut. In an earlier paper it was shown that the new cuts are at least as sharp as those of Chubanov. Our Modified Main Algorithm is in essence the same as Chubanov's Main Algorithm, except that it uses the new Basic Procedure as a subroutine. The new method has
time complexity, where
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time, just as Chubanov's cut. In an earlier paper it was shown that the new cuts are at least as sharp as those of Chubanov. Our Modified Main Algorithm is in essence the same as Chubanov's Main Algorithm, except that it uses the new Basic Procedure as a subroutine. The new method has
time complexity, where
is a suitably defined condition number. As we show, a simplified version of the new Basic Procedure competes well with the Smooth Perceptron Scheme of Peña and Soheili and, when combined with Rescaling, also with two commercial codes for linear optimization.</description><subject>Algorithms</subject><subject>Chubanov's method</subject><subject>homogeneous</subject><subject>Linear optimization</subject><subject>Mirror-Prox method</subject><subject>Optimization</subject><subject>Rescaling</subject><issn>1055-6788</issn><issn>1029-4937</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><recordid>eNp9kEtPwzAQhC0EElD4CUiWOHBKsePYjm-gipdUHgd6tvxKa0hisJNC-fUkarly2d3DNzPaAeAMoylGJbrEiFLGy3KaoxyPg9Cc7IEjjHKRFYLw_fGmNBuhQ3Cc0htCqMAFOwI_i-TbJXxyjY9hnd79RYKPPsYQs5cYvmHjulWwUCWoVfIGfsRgnO2jg76Fs1WvVRvWg2bHVSHCFOr16LkKTVi61oU-wcoNau1r321GC127Jp2Ag0rVyZ3u9gQsbm9eZ_fZ_PnuYXY9zwwhpMs4Z4po5Cg2hAluS86R1dZqYSzRmBWVUdYJakSFC62F4FSXJVK0zBk3zJEJON_6DsGfvUudfAt9bIdImXNaCMEoKQaKbikTQ0rRVfIj-kbFjcRIjjXLv5rlWLPc1TzorrY63w7PN-orxNrKTm3qEKuoWuOTJP9b_AJzu4Z4</recordid><startdate>20220704</startdate><enddate>20220704</enddate><creator>Wei, Zhang</creator><creator>Roos, Kees</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20220704</creationdate><title>Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems</title><author>Wei, Zhang ; Roos, Kees</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-776a3b0e51c3697d8770dbddb9cd3b164fcade95c9f14bb9975b880a58267c6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Chubanov's method</topic><topic>homogeneous</topic><topic>Linear optimization</topic><topic>Mirror-Prox method</topic><topic>Optimization</topic><topic>Rescaling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Zhang</creatorcontrib><creatorcontrib>Roos, Kees</creatorcontrib><collection>Taylor & Francis Open Access(OpenAccess)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Optimization methods & software</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Zhang</au><au>Roos, Kees</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems</atitle><jtitle>Optimization methods & software</jtitle><date>2022-07-04</date><risdate>2022</risdate><volume>37</volume><issue>4</issue><spage>1447</spage><epage>1470</epage><pages>1447-1470</pages><issn>1055-6788</issn><eissn>1029-4937</eissn><abstract>We introduce a new variant of Chubanov's method for solving linear homogeneous systems with positive variables. In the Basic Procedure we use a recently introduced cut in combination with Nemirovski's Mirror-Prox method. We show that the cut requires at most
time, just as Chubanov's cut. In an earlier paper it was shown that the new cuts are at least as sharp as those of Chubanov. Our Modified Main Algorithm is in essence the same as Chubanov's Main Algorithm, except that it uses the new Basic Procedure as a subroutine. The new method has
time complexity, where
is a suitably defined condition number. As we show, a simplified version of the new Basic Procedure competes well with the Smooth Perceptron Scheme of Peña and Soheili and, when combined with Rescaling, also with two commercial codes for linear optimization.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/10556788.2021.2023523</doi><tpages>24</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Chubanov's method homogeneous Linear optimization Mirror-Prox method Optimization Rescaling |
title | Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems |
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