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» A Mean-Variance Optimization algorithm
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TIP
2010
160views more  TIP 2010»
14 years 11 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
104
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CEC
2010
IEEE
15 years 6 months ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li
137
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SIAMSC
2010
215views more  SIAMSC 2010»
15 years 3 months ago
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
We propose a fast algorithm for solving the ℓ1-regularized minimization problem minx∈Rn µ x 1 + Ax − b 2 2 for recovering sparse solutions to an undetermined system of linea...
Zaiwen Wen, Wotao Yin, Donald Goldfarb, Yin Zhang
SIAMIS
2010
283views more  SIAMIS 2010»
14 years 11 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
131
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PATMOS
2004
Springer
15 years 10 months ago
SoftExplorer: Estimation, Characterization, and Optimization of the Power and Energy Consumption at the Algorithmic Level
We present SoftExplorer, a tool to estimate and analyze the power and energy consumption of an algorithm from the C program. The consumption of every loop is analyzed, and the inï¬...
Eric Senn, Johann Laurent, Nathalie Julien, Eric M...