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CMSB
2006
Springer
14 years 24 days ago
Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...
ITA
2006
13 years 9 months ago
Probabilistic models for pattern statistics
In this work we study some probabilistic models for the random generation of words over a given alphabet used in the literature in connection with pattern statistics. Our goal is t...
Massimiliano Goldwurm, Roberto Radicioni
RSA
2000
170views more  RSA 2000»
13 years 8 months ago
Delayed path coupling and generating random permutations
We analyze various stochastic processes for generating permutations almost uniformly at random in distributed and parallel systems. All our protocols are simple, elegant and are b...
Artur Czumaj, Miroslaw Kutylowski
AMC
2008
86views more  AMC 2008»
13 years 9 months ago
Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto
SIAMJO
2000
67views more  SIAMJO 2000»
13 years 8 months ago
Gradient Convergence in Gradient methods with Errors
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
Dimitri P. Bertsekas, John N. Tsitsiklis