Metastability and Markov state models in molecular dynamics : modeling, analysis, algorithmic approaches /

Metastability and Markov state models in molecular dynamics : modeling, analysis, algorithmic approaches /

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Bibliographic Details
Main Authors: Schütte, Christof (Author), Schütte, Christof (Author), Sarich, Marco, 1985- (Author)
Format: Book
Language:English
Published: New York : Providence, Rhode Island : Courant Institute of Mathematical Sciences, New York University ; American Mathematical Society, [2013]
New York, New York : Providence, Rhode Island : [2013]
Series:Courant lecture notes in mathematics ; 24
Courant lecture notes in mathematics 24
Subjects:
Biomathematics
Markov processes
Molecular dynamics > Statistical methods
Markov Chains
Biology and other natural sciences > Computational methods
Biology and other natural sciences > Computational methods
Molecular dynamics
Operator theory > Groups and semigroups of linear operators, their generalizations and applications > Markov semigroups and applications to diffusion processes
Operator theory > Groups and semigroups of linear operators, their generalizations and applications > Markov semigroups and applications to diffusion processes
Probability theory and stochastic processes > Computational methods (not classified at a more specific level)
Probability theory and stochastic processes > Markov processes > Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.)
Probability theory and stochastic processes > Markov processes > Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
Probability theory and stochastic processes > Computational methods (not classified at a more specific level)
Probability theory and stochastic processes > Markov processes > Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.)
Probability theory and stochastic processes > Markov processes > Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)

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