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» On Wiedemann's Method of Solving Sparse Linear Systems
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SIAMIS
2010
190views more  SIAMIS 2010»
13 years 2 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
ISBI
2004
IEEE
14 years 8 months ago
Diffusion Smoothing on Brain Surface via Finite Element Method
Surface data such as the segmented cortical surface of the human brain plays an important role in medical imaging. To increase the signal-to-noise ratio for data residing on the b...
Moo Chung, Jonathan Taylor
DAC
2004
ACM
14 years 8 months ago
Sparse transformations and preconditioners for hierarchical 3-D capacitance extraction with multiple dielectrics
Capacitance extraction is an important problem that has been extensively studied. This paper presents a significant improvement for the fast multipole accelerated boundary element...
Shu Yan, Vivek Sarin, Weiping Shi
ISPDC
2005
IEEE
14 years 1 months ago
GMRES Method on Lightweight GRID System
Grid computing accomplishes high throughput computing by using a very large number of unexploited computing resources. We present a parallel method GMRES to solve large sparse lin...
Haiwu He, Guy Bergére, Serge G. Petiton
IJCAI
2007
13 years 9 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup