Semidefinite programming and matrix scaling over the semidefinite cone

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Semidefinite programming (SDP) and matrix scaling over the semidefinite cone were discussed. Real number model of computation the decision problem of testing the solvability of matrix scaling was presented. It was found that this algorithm can not only test the solvability of feasibility problem in SDP but also can test solvability of the matrix scaling method.

Original languageEnglish (US)
Pages (from-to)221-243
Number of pages23
JournalLinear Algebra and Its Applications
Volume375
Issue number1-3
DOIs
StatePublished - Dec 1 2003

Fingerprint

Semidefinite Programming
Solvability
Cones
Cone
Scaling
Models of Computation
Decision problem
Testing

All Science Journal Classification (ASJC) codes

  • Algebra and Number Theory
  • Numerical Analysis
  • Geometry and Topology
  • Discrete Mathematics and Combinatorics

Cite this

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title = "Semidefinite programming and matrix scaling over the semidefinite cone",
abstract = "Semidefinite programming (SDP) and matrix scaling over the semidefinite cone were discussed. Real number model of computation the decision problem of testing the solvability of matrix scaling was presented. It was found that this algorithm can not only test the solvability of feasibility problem in SDP but also can test solvability of the matrix scaling method.",
author = "Bahman Kalantari",
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publisher = "Elsevier Inc.",
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}

Semidefinite programming and matrix scaling over the semidefinite cone. / Kalantari, Bahman.

In: Linear Algebra and Its Applications, Vol. 375, No. 1-3, 01.12.2003, p. 221-243.

Research output: Contribution to journalArticle

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