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» Level-set methods for convex optimization
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ICASSP
2009
IEEE
15 years 5 months ago
Design of robust superdirective beamformers as a convex optimization problem
Broadband data-independent beamforming designs aiming at constant beamwidth often lead to superdirective beamformers for low frequencies, if the sensor spacing is small relative t...
Edwin Mabande, Adrian Schad, Walter Kellermann
AUTOMATICA
2007
129views more  AUTOMATICA 2007»
15 years 2 months ago
Robust control of polytopic systems by convex optimization
— Robust control synthesis of linear time-invariant SISO polytopic systems is investigated using the polynomial approach. A convex set of all stabilizing controllers for a polyto...
Alireza Karimi, Hamid Khatibi, Roland Longchamp
CORR
2011
Springer
261views Education» more  CORR 2011»
14 years 9 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
145
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SIAMIS
2010
283views more  SIAMIS 2010»
14 years 8 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 3 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue