We present a general framework whereby analysis of interior-point algorithms for semidefinite programming can be extended verbatim to optimization problems over all classes of symmetric cones ...
In this article, we explore the characterizations of ε-approximate solutions for convex semidefinite programming problems that involve uncertain data. It first reviews essential findings regarding the ...
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