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SIAMIS
2011
14 years 8 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
GECCO
2003
Springer
15 years 6 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
SIP
2001
15 years 2 months ago
Convergence acceleration of the LMS algorithm using successive data orthogonalization
We propose a new adaptive filtering algorithm whose convergence rate is very fast even for a highly correlated input signal. It is well-known that convergence rate gets worse when...
H.-C. Shin, W.-J. Song
AE
1997
Springer
15 years 5 months ago
Asymptotical Convergence Rates of Simple Evolutionary Algorithms under Factorizing Mutation Distributions
Abstract. The standard choice for mutating an individual of an evolutionary algorithm with continuous variables is the normal distribution. It is shown that there is a broad class ...
Günter Rudolph
ICASSP
2010
IEEE
15 years 1 months ago
Convergence behavior of the Active Mask segmentation algorithm
We study the convergence behavior of the Active Mask (AM) framework, originally designed for segmenting punctate image patterns. AM combines the flexibility of traditional active...
Doru-Cristian Balcan, Gowri Srinivasa, Matthew C. ...