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On Positiveness of Matrix-Valued Polynomials and Robust Semidefinite Programming

open access: yes, 2003
This report is devoted to the study of robust semidefinite programming. We show that to the issue of computing the worst-case optimal value of semidefinite programs depending polynomially upon a finite number of bounded scalar parameters, one may associate a countable family of standard semidefinite programs, whose optimal values converge monotonically
openaire   +1 more source

Generalizations of the quadratic bound optimization principle. [PDF]

open access: yesProc Natl Acad Sci U S A
Li XJ, Tian GL, Zhou H, Lange K.
europepmc   +1 more source

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