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» On the Convergence of Bound Optimization Algorithms
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CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 2 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
SIAMIS
2011
13 years 2 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
COMPLEXITY
2004
108views more  COMPLEXITY 2004»
13 years 7 months ago
On the convergence of a factorized distribution algorithm with truncation selection
nical Abstract Optimization is to find the "best" solution to a problem where the quality of a solution can be measured by a given criterion. Estimation of Distribution A...
Qingfu Zhang
CORR
2008
Springer
128views Education» more  CORR 2008»
13 years 7 months ago
Distributed Consensus over Wireless Sensor Networks Affected by Multipath Fading
The design of sensor networks capable of reaching a consensus on a globally optimal decision test, without the need for a fusion center, is a problem that has received considerable...
Gesualdo Scutari, Sergio Barbarossa
UAI
2003
13 years 8 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen