2563 search results - page 97 / 513 » Parallel matrix algorithms and applications |
82
Voted
JPDC
2006
15 years 20 days ago
2006
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
105
Voted
ASAP
2006
IEEE
15 years 6 months ago
2006
IEEE
In the simulation of quantum circuits the matrices and vectors used to represent unitary operations and qubit states grow exponentially as the number of qubits increase. For insta...
91
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
100
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
115
Voted
CORR
2011
Springer
14 years 4 months ago
2011
Springer
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...