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» Solving path problems on the GPU
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WSC
2008
15 years 2 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
ISPAN
2005
IEEE
15 years 5 months ago
Minimum Cost Paths Subject to Minimum Vulnerability for Reliable Communications
Abstract—In real networks, disjoint paths are needed for providing protection against single link/node failure. When disjoint paths cannot be found, an alternative solution is to...
Bing Yang, Mei Yang, Jianping Wang, S. Q. Zheng
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
15 years 6 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
ISAAC
2009
Springer
113views Algorithms» more  ISAAC 2009»
15 years 4 months ago
On Shortest Disjoint Paths in Planar Graphs
For a graph G and a collection of vertex pairs {(s1, t1), . . . , (sk, tk)}, the k disjoint paths problem is to find k vertex-disjoint paths P1, . . . , Pk, where Pi is a path fr...
Yusuke Kobayashi, Christian Sommer 0002
JAL
2002
71views more  JAL 2002»
14 years 11 months ago
A primal-dual schema based approximation algorithm for the element connectivity problem
The element connectivity problem falls in the category of survivable network design problems { it is intermediate to the versions that ask for edge-disjoint and vertex-disjoint pa...
Kamal Jain, Ion I. Mandoiu, Vijay V. Vazirani, Dav...