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Method of approximate centers for semi-definite programming

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Publication:4345241
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DOI10.1080/10556789708805658zbMath0879.90142OpenAlexW2016493444MaRDI QIDQ4345241

Cornelis Roos, Tamás Terlaky, Etienne de Klerk, Bing-sheng He

Publication date: 23 July 1997

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556789708805658

zbMATH Keywords

semi-definite programminginterior point algorithmspath-following algorithmlarge-scale linear programmingapproximate centers


Mathematics Subject Classification ID

Linear programming (90C05)


Related Items

A long-step primal-dual path-following method for semidefinite programming


Uses Software

  • SDPHA


Cites Work

  • A polynomial method of approximate centers for linear programming
  • On projected newton barrier methods for linear programming and an equivalence to Karmarkar’s projective method
  • An O(√nL)-Iteration Homogeneous and Self-Dual Linear Programming Algorithm
  • On a Matrix Generalization of Affine-Scaling Vector Fields
  • Semidefinite Programming
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