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CISS
2008
IEEE
14 years 3 months ago
Subgradient methods in network resource allocation: Rate analysis
— We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
Angelia Nedic, Asuman E. Ozdaglar
CORR
2010
Springer
89views Education» more  CORR 2010»
13 years 6 months ago
A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
Anjan Kumar Kundu, Bijoy Bandyopadhyay, Sugata San...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 3 months ago
Less conservative robust control of constrained linear systems with bounded disturbances
— This paper develops a novel robust control method for linear systems subject to additive and bounded disturbances. The approach is based on constraint tightening method. The pr...
Reza Ghaemi, Jing Sun, Ilya V. Kolmanovsky
FOCM
2011
175views more  FOCM 2011»
13 years 3 months ago
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
Donald Goldfarb, Shiqian Ma
CEC
2008
IEEE
14 years 3 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...