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Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2862399
Abstract: Signal processing applications of semidefinite optimization are often rooted in sum-of-squares representations of nonnegative trigonometric polynomials. Interior-point solvers for semidefinite optimization can handle constraints of this form with a per-iteration-complexity that is cubic in the…
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Keywords:
entropic proximal;
trigonometric polynomials;
distance;
proximal operators ... See more keywords