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Stochastic Dynamics Out of Equilibrium - Institut Henri Poincare, Paris, France, 2017 (Paperback, 1st ed. 2019): Giambattista... Stochastic Dynamics Out of Equilibrium - Institut Henri Poincare, Paris, France, 2017 (Paperback, 1st ed. 2019)
Giambattista Giacomin, Stefano Olla, Ellen Saada, Herbert Spohn, Gabriel Stoltz
R5,874 Discovery Miles 58 740 Ships in 10 - 15 working days

Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments. It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown. The trimester, held at the Institut Henri Poincare (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics. The present volume is indispensable reading for researchers and Ph.D. students working in such areas.

Stochastic Dynamics Out of Equilibrium - Institut Henri Poincare, Paris, France, 2017 (Hardcover, 1st ed. 2019): Giambattista... Stochastic Dynamics Out of Equilibrium - Institut Henri Poincare, Paris, France, 2017 (Hardcover, 1st ed. 2019)
Giambattista Giacomin, Stefano Olla, Ellen Saada, Herbert Spohn, Gabriel Stoltz
R5,906 Discovery Miles 59 060 Ships in 10 - 15 working days

Stemming from the IHP trimester "Stochastic Dynamics Out of Equilibrium", this collection of contributions focuses on aspects of nonequilibrium dynamics and its ongoing developments. It is common practice in statistical mechanics to use models of large interacting assemblies governed by stochastic dynamics. In this context "equilibrium" is understood as stochastically (time) reversible dynamics with respect to a prescribed Gibbs measure. Nonequilibrium dynamics correspond on the other hand to irreversible evolutions, where fluxes appear in physical systems, and steady-state measures are unknown. The trimester, held at the Institut Henri Poincare (IHP) in Paris from April to July 2017, comprised various events relating to three domains (i) transport in non-equilibrium statistical mechanics; (ii) the design of more efficient simulation methods; (iii) life sciences. It brought together physicists, mathematicians from many domains, computer scientists, as well as researchers working at the interface between biology, physics and mathematics. The present volume is indispensable reading for researchers and Ph.D. students working in such areas.

Free Energy Computations: A Mathematical Perspective (Hardcover, New): Mathias Rousset, Gabriel Stoltz, Tony Lelievre Free Energy Computations: A Mathematical Perspective (Hardcover, New)
Mathias Rousset, Gabriel Stoltz, Tony Lelievre
R4,560 Discovery Miles 45 600 Ships in 10 - 15 working days

This monograph provides a general introduction to advanced computational methods for free energy calculations, from the systematic and rigorous point of view of applied mathematics. Free energy calculations in molecular dynamics have become an outstanding and increasingly broad computational field in physics, chemistry and molecular biology within the past few years, by making possible the analysis of complex molecular systems. This work proposes a new, general and rigorous presentation, intended both for practitioners interested in a mathematical treatment, and for applied mathematicians interested in molecular dynamics. Readership: Graduate students and researchers in applied mathematics, computational physics and computational chemistry

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