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» Preconditioned iterative methods on sparse subspaces
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DAC
1996
ACM
13 years 11 months ago
A Sparse Image Method for BEM Capacitance Extraction
Boundary element methods (BEM) are often used for complex 3-D capacitance extraction because of their efficiency, ease of data preparation, and automatic handling of open regions. ...
Byron Krauter, Yu Xia, E. Aykut Dengi, Lawrence T....
VECPAR
2004
Springer
14 years 24 days ago
Domain Decomposition Methods for PDE Constrained Optimization Problems
Abstract. Optimization problems constrained by nonlinear partial differential equations have been the focus of intense research in scientific computing lately. Current methods for...
Ernesto E. Prudencio, Richard H. Byrd, Xiao-Chuan ...
IPPS
2002
IEEE
14 years 11 days ago
Fast Inductance Extraction of Large VLSI Circuits
Accurate estimation of signal delay is critical to the design and verification of VLSI circuits. At very high frequencies, signal delay in circuits with small feature sizes is do...
Hemant Mahawar, Vivek Sarin, Weiping Shi
SIAMSC
2010
215views more  SIAMSC 2010»
13 years 5 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
IJCNN
2006
IEEE
14 years 1 months ago
Sparse Optimization for Second Order Kernel Methods
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
Roland Vollgraf, Klaus Obermayer