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TIT
2011
116views more  TIT 2011»
14 years 6 months ago
Convex Programming Upper Bounds on the Capacity of 2-D Constraints
—The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distri...
Ido Tal, Ron M. Roth
WSCG
2004
118views more  WSCG 2004»
15 years 1 months ago
New Method for Geometric Constraint Solving Based on the Genetic Quantum Algorithm
This paper proposes a novel genetic quantum algorithm (GQA) to solve geometric constraint problems. Instead of binary, numeric or symbolic representation, we introduce qubit chrom...
Chunhong Cao, Wenhui Li
ICASSP
2010
IEEE
15 years 8 hour ago
Sparsity maximization under a quadratic constraint with applications in filter design
This paper considers two problems in sparse filter design, the first involving a least-squares constraint on the frequency response, and the second a constraint on signal-to-noi...
Dennis Wei, Alan V. Oppenheim
SIAMMAX
2010
156views more  SIAMMAX 2010»
14 years 6 months ago
Preconditioned Conjugate Gradient Method for Optimal Control Problems with Control and State Constraints
Optimality systems and their linearizations arising in optimal control of partial differential equations with pointwise control and (regularized) state constraints are considered. ...
Roland Herzog, Ekkehard W. Sachs
TNN
2010
182views Management» more  TNN 2010»
14 years 6 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi