Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/94308
Title: Numerical block diagonalization of matrix - algebras with application to semidefinite programming
Authors: Klerk, Etienne de.
Dobre, Cristian.
Pasechnik, Dmitrii V.
Keywords: DRNTU::Science::Mathematics
Issue Date: 2011
Source: Klerk, E. d., Dobre, C. & Pasechnik D. V. (2011) Numerical block diagonalization of matrix -algebras with application to semidefinite programming. Mathematical programming, 129, 91-111.
Series/Report no.: Mathematical programming
Abstract: Semidefinite programming (SDP) is one of the most active areas in mathematical programming, due to varied applications and the availability of interior point algorithms. In this paper we propose a newpre-processing technique for SDP instances that exhibit algebraic symmetry. We present computational results to show that the solution times of certain SDP instances may be greatly reduced via the new approach.
URI: https://hdl.handle.net/10356/94308
http://hdl.handle.net/10220/7620
DOI: 10.1007/s10107-011-0461-3
Rights: © 2011 The Author(s).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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