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SIAMMAX
2010
146views more  SIAMMAX 2010»
12 years 11 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. ...
PARA
2004
Springer
13 years 10 months ago
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Keita Teranishi, Padma Raghavan
AMC
2005
123views more  AMC 2005»
13 years 4 months ago
Iterative methods for Robbins problems
Preconditioned iterative methods are described for the solution of an elliptic partial differential equation over an unit square region with Robbins boundary conditions. Transform...
Andy C. Ho, Michael K. Ng
PC
2011
413views Management» more  PC 2011»
12 years 12 months ago
Exploiting thread-level parallelism in the iterative solution of sparse linear systems
We investigate the efficient iterative solution of large-scale sparse linear systems on shared-memory multiprocessors. Our parallel approach is based on a multilevel ILU precondit...
José Ignacio Aliaga, Matthias Bollhöfe...
ICCV
2011
IEEE
12 years 5 months ago
Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment
We present a generalized subgraph preconditioning (GSP) technique to solve large-scale bundle adjustment problems efficiently. In contrast with previous work which uses either di...
Yong-Dian Jian, Doru C. Balcan, Frank Dellaert