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TCS
2010
13 years 5 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
PE
2000
Springer
118views Optimization» more  PE 2000»
13 years 7 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...
CONPAR
1992
13 years 11 months ago
Analysis of an Efficient Distributed Algorithm for Mutual Exclusion (Average-Case Analysis of Path Reversal)
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...
Christian Lavault
FMSD
2006
85views more  FMSD 2006»
13 years 7 months ago
Distributed disk-based algorithms for model checking very large Markov chains
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
Alexander Bell, Boudewijn R. Haverkort
AAAI
2008
13 years 9 months ago
Towards Faster Planning with Continuous Resources in Stochastic Domains
Agents often have to construct plans that obey resource limits for continuous resources whose consumption can only be characterized by probability distributions. While Markov Deci...
Janusz Marecki, Milind Tambe