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» Wavelet based preconditioners for sparse linear systems
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ICCS
2007
Springer
14 years 2 months ago
Neural Networks for Predicting the Behavior of Preconditioned Iterative Solvers
We evaluate the effectiveness of neural networks as a tool for predicting whether a particular combination of preconditioner and iterative method will correctly solve a given spar...
America Holloway, Tzu-Yi Chen
DCC
2002
IEEE
14 years 7 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 8 months ago
Solving Sparse Integer Linear Systems
We propose a new algorithm to solve sparse linear systems of equations over the integers. This algorithm is based on a p-adic lifting technique combined with the use of block matr...
Wayne Eberly, Mark Giesbrecht, Pascal Giorgi, Arne...
CPHYSICS
2010
184views more  CPHYSICS 2010»
13 years 8 months ago
Parallel Newton-Krylov-Schwarz algorithms for the three-dimensional Poisson-Boltzmann equation in numerical simulation of colloi
We investigate fully parallel Newton-Krylov-Schwarz (NKS) algorithms for solving the large sparse nonlinear systems of equations arising from the finite element discretization of ...
Feng-Nan Hwang, Shang-Rong Cai, Yun-Long Shao, Jon...
SIAMJO
2000
74views more  SIAMJO 2000»
13 years 7 months ago
A Specialized Interior-Point Algorithm for Multicommodity Network Flows
Abstract. Despite the efficiency shown by interior-point methods in large-scale linear programming, they usually perform poorly when applied to multicommodity flow problems. The ne...
Jordi Castro