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104
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ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 2 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
IWCC
1999
IEEE
15 years 4 months ago
Nomad: A Scalable Operating System for Clusters of Uni and Multiprocessors
The recent improvements in workstation and interconnection network performance have popularized the clusters of off-the-shelf workstations. However, the usefulness of these cluste...
Eduardo Pinheiro, Ricardo Bianchini
115
Voted
NBIS
2009
Springer
15 years 7 months ago
Enhancing Simulation Mode Operation of ospfd
In this paper, we describe our modifications to ospfd, a popular open-source implementation of OSPF routing protocol. The ospfd software can also be run in simulation mode, where...
Weigao Xie, Balaji Polepalli, Mukul Goyal, Hossein...
AAAI
2000
15 years 2 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
99
Voted
IANDC
2006
121views more  IANDC 2006»
15 years 19 days ago
Comparing operational models of name-passing process calculi
We study three operational models of name-passing process calculi: coalgebras on (pre)sheaves, indexed labelled transition systems, and history dependent automata. The coalgebraic...
Marcelo P. Fiore, Sam Staton