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A new self-dual embedding method for convex programming

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Publication:557368
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DOI10.1023/B:JOGO.0000047915.10754.a1zbMath1089.90043OpenAlexW1971785294MaRDI QIDQ557368

Shu-Zhong Zhang

Publication date: 23 June 2005

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/b:jogo.0000047915.10754.a1


zbMATH Keywords

convex programmingconic constraintsself-concordant barrier functionsself-dual embedding


Mathematics Subject Classification ID

Convex programming (90C25) Interior-point methods (90C51)


Related Items (7)

Embedding methods for semidefinite programming ⋮ Using Interior-Point Methods within an Outer Approximation Framework for Mixed Integer Nonlinear Programming ⋮ Projection onto the exponential cone: a univariate root-finding problem ⋮ A \({\mathsf{D}}\)-induced duality and its applications ⋮ Penalized interior point approach for constrained nonlinear programming ⋮ Robust convex conic optimization in D-induced duality framework ⋮ On implementation of a self-dual embedding method for convex programming


Uses Software

  • SDPHA



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