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IMCSIT
2010
13 years 2 months ago
The experimental analysis of GMRES convergence for solution of Markov chains
The authors consider the impact of the structure of the matrix on the convergence behavior for the GMRES projection method for solving large sparse linear equation systems resultin...
Beata Bylina, Jaroslaw Bylina
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 6 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
DSN
2005
IEEE
13 years 11 months ago
A Wavefront Parallelisation of CTMC Solution Using MTBDDs
In this paper, we present a parallel implementation for the steady-state analysis of continuous-time Markov chains (CTMCs). This analysis is performed via solution of a linear equ...
Yi Zhang, David Parker, Marta Z. Kwiatkowska
NICSO
2010
Springer
13 years 9 months ago
Accelerated Genetic Algorithms with Markov Chains
t] Based on the mutation matrix formalism and past statistics of genetic algorithm, a Markov Chain transition probability matrix is introduced to provide a guided search for comple...
Guan Wang, Chen Chen, Kwok Yip Szeto
CVPR
2009
IEEE
14 years 3 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...