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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

Connectivity Regression. [PDF]

open access: yesBiostatistics
Desai N   +3 more
europepmc   +1 more source

Entanglement Cost for Infinite-Dimensional Physical Systems. [PDF]

open access: yesCommun Math Phys
Yamasaki H, Kuroiwa K, Hayden P, Lami L.
europepmc   +1 more source

Single-cell 3D genome reconstruction in the haploid setting using rigidity theory. [PDF]

open access: yesJ Math Biol
Dewar S   +4 more
europepmc   +1 more source

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