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» On Multiple Linear Approximations
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74
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PPSC
1993
14 years 11 months ago
Parallel Preconditioning and Approximate Inverses on the Connection Machine
We present a new approach to preconditioning for very large, sparse, non-symmetric, linear systems. We explicitly compute an approximate inverse to our original matrix that can be...
Marcus J. Grote, Horst D. Simon
75
Voted
APPML
2006
84views more  APPML 2006»
14 years 10 months ago
Approximate deconvolution boundary conditions for large eddy simulation
We introduce new boundary conditions for Large Eddy Simulation. These boundary conditions are based on an approximate deconvolution approach. They are computationally efficient an...
Jeff Borggaard, T. Iliescu
72
Voted
SIAMJO
2002
73views more  SIAMJO 2002»
14 years 9 months ago
Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification
We study best approximation problems with nonlinear constraints in Hilbert spaces. The strong "conical hull intersection property" (CHIP) and the "basic constraint q...
Chong Li, Xiao-Qing Jin
74
Voted
ICIP
2004
IEEE
15 years 11 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma
ATAL
2010
Springer
14 years 5 months ago
Approximate dynamic programming with affine ADDs
The Affine ADD (AADD) is an extension of the Algebraic Decision Diagram (ADD) that compactly represents context-specific, additive and multiplicative structure in functions from a...
Scott Sanner, William T. B. Uther, Karina Valdivia...