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» On Wiedemann's Method of Solving Sparse Linear Systems
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LSSC
2001
Springer
14 years 1 months ago
On the Parallelization of the Sparse Grid Approach for Data Mining
Abstract. Recently we presented a new approach [5, 6] to the classification problem arising in data mining. It is based on the regularization network approach, but in contrast to ...
Jochen Garcke, Michael Griebel
CVPR
2010
IEEE
14 years 5 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 3 months ago
Less conservative robust control of constrained linear systems with bounded disturbances
— This paper develops a novel robust control method for linear systems subject to additive and bounded disturbances. The approach is based on constraint tightening method. The pr...
Reza Ghaemi, Jing Sun, Ilya V. Kolmanovsky
SIAMMAX
2010
146views more  SIAMMAX 2010»
13 years 3 months ago
A Comparison of Two-Level Preconditioners Based on Multigrid and Deflation
It is well-known that two-level and multi-level preconditioned conjugate gradient (PCG) methods provide efficient techniques for solving large and sparse linear systems whose coeff...
J. M. Tang, S. P. MacLachlan, Reinhard Nabben, C. ...
NAA
2000
Springer
125views Mathematics» more  NAA 2000»
14 years 19 days ago
Matrix Computations Using Quasirandom Sequences
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
Michael Mascagni, Aneta Karaivanova