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IPPS
2009
IEEE
14 years 2 months ago
Dynamic iterations for the solution of ordinary differential equations on multicore processors
In the past few years, there has been a trend of providing increased computing power through greater number of cores on a chip, rather than through higher clock speeds. In order t...
Yanan Yu, Ashok Srinivasan
NAA
2000
Springer
88views Mathematics» more  NAA 2000»
13 years 11 months ago
Schwarz Methods for Convection-Diffusion Problems
Abstract. Various variants of Schwarz methods for a singularly perturbed two dimensional stationary convection-diffusion problem are constructed and analysed. The iteration counts,...
H. MacMullen, Eugene O'Riordan, Grigorii I. Shishk...
UAI
2003
13 years 9 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CCE
2004
13 years 7 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
NIPS
1998
13 years 9 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh