Titlebook: Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems; John Karkheck Book 2002 Springer Science+Business Media Dordre

Obsolescent

書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems影響因子(影響力)




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems影響因子(影響力)學(xué)科排名




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書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems被引頻次




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems被引頻次學(xué)科排名




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems年度引用




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems年度引用學(xué)科排名




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems讀者反饋




書目名稱Dynamics: Models and Kinetic Methods for Non-equilibrium Many Body Systems讀者反饋學(xué)科排名

Etching

Lucy Williams,Emel Co?kun,Selmin Ka?kas of its maximal Lyapunov exponents. This is done by considering the fluid as a dynamical system in its multidimensional phase space. A numerical test of this expression, in which the Conjugate Pairing Rule is used, is presented.

油膏

BLA

https://doi.org/10.1007/978-94-011-4365-3colloid; diffusion; dynamical systems; dynamics; electron; kinetic theory; kinetics; material; mechanics; pha

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Dynamical Systems and Statistical Mechanics: Lyapunov Exponents and Transport Coefficientss of its maximal Lyapunov exponents. This is done by considering the fluid as a dynamical system in its multidimensional phase space. A numerical test of this expression, in which the Conjugate Pairing Rule is used, is presented.

Spinal-Tap

或者發(fā)神韻

Nona Shahnazarian,Ulrike Ziemerential. Einstein realized that on a sufficiently slow time scale the observed random displacements of the particle can be described by a generalized diffusion equation. The particle momentum can be ignored, since it changes on a much faster time scale. Its probability distribution rapidly becomes ne

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