Probabilistic Methods In Fluids, Proceedings Of The Swansea 2002 Workshop

Probabilistic Methods In Fluids, Proceedings Of The Swansea 2002 Workshop

Author: Ian M Davies

Publisher: World Scientific

Published: 2003-06-13

Total Pages: 383

ISBN-13: 9814487058

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This volume contains recent research papers presented at the international workshop on “Probabilistic Methods in Fluids” held in Swansea. The central problems considered were turbulence and the Navier-Stokes equations but, as is now well known, these classical problems are deeply intertwined with modern studies of stochastic partial differential equations, jump processes and random dynamical systems. The volume provides a snapshot of current studies in a field where the applications range from the design of aircraft through the mathematics of finance to the study of fluids in porous media.


Probabilistic Methods in Fluids

Probabilistic Methods in Fluids

Author: Ian Malcolm Davies

Publisher: World Scientific

Published: 2003

Total Pages: 383

ISBN-13: 9812382267

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This volume contains recent research papers presented at the international workshop on ?Probabilistic Methods in Fluids? held in Swansea. The central problems considered were turbulence and the Navier-Stokes equations but, as is now well known, these classical problems are deeply intertwined with modern studies of stochastic partial differential equations, jump processes and random dynamical systems. The volume provides a snapshot of current studies in a field where the applications range from the design of aircraft through the mathematics of finance to the study of fluids in porous media.


SPDE in Hydrodynamics: Recent Progress and Prospects

SPDE in Hydrodynamics: Recent Progress and Prospects

Author: Sergio Albeverio

Publisher: Springer Science & Business Media

Published: 2008-04-14

Total Pages: 183

ISBN-13: 3540784926

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Of the three lecture courses making up the CIME summer school on Fluid Dynamics at Cetraro in 2005 reflected in this volume, the first, due to Sergio Albeverio describes deterministic and stochastic models of hydrodynamics. In the second course, Franco Flandoli starts from 3D Navier-Stokes equations and ends with turbulence. Finally, Yakov Sinai, in the 3rd course, describes some rigorous mathematical results for multidimensional Navier-Stokes systems and some recent results on the one-dimensional Burgers equation with random forcing.


Multiscale Methods in Science and Engineering

Multiscale Methods in Science and Engineering

Author: Björn Engquist

Publisher: Springer Science & Business Media

Published: 2006-03-30

Total Pages: 300

ISBN-13: 3540264442

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Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of the larger scales. Challenging multiscale problems are very common and are found in e.g. materials science, fluid mechanics, electrical and mechanical engineering. Homogenization, subgrid modelling, heterogeneous multiscale methods, multigrid, multipole, and adaptive algorithms are examples of methods to tackle these problems. This volume is an overview of current mathematical and computational methods for problems with multiple scales with applications in chemistry, physics and engineering.


Multiscale Modeling and Simulation in Science

Multiscale Modeling and Simulation in Science

Author: Björn Engquist

Publisher: Springer Science & Business Media

Published: 2009-02-11

Total Pages: 332

ISBN-13: 3540888578

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Most problems in science involve many scales in time and space. An example is turbulent ?ow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common dif?culty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignoresthe?nescale informationthenthesolutionwillnotbephysicallymeaningful. The in?uence of the ?ne scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Stockholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.


Seminar on Stochastic Analysis, Random Fields and Applications V

Seminar on Stochastic Analysis, Random Fields and Applications V

Author: Robert Dalang

Publisher: Springer Science & Business Media

Published: 2008-03-12

Total Pages: 518

ISBN-13: 3764384581

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This volume contains refereed research or review papers presented at the 5th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verità) in Ascona, Switzerland, from May 29 to June 3, 2004. The seminar focused mainly on stochastic partial differential equations, stochastic models in mathematical physics, and financial engineering.


Trends in Stochastic Analysis

Trends in Stochastic Analysis

Author: Jochen Blath

Publisher: Cambridge University Press

Published: 2009-04-09

Total Pages: 391

ISBN-13: 1139476017

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Presenting important trends in the field of stochastic analysis, this collection of thirteen articles provides an overview of recent developments and new results. Written by leading experts in the field, the articles cover a wide range of topics, ranging from an alternative set-up of rigorous probability to the sampling of conditioned diffusions. Applications in physics and biology are treated, with discussion of Feynman formulas, intermittency of Anderson models and genetic inference. A large number of the articles are topical surveys of probabilistic tools such as chaining techniques, and of research fields within stochastic analysis, including stochastic dynamics and multifractal analysis. Showcasing the diversity of research activities in the field, this book is essential reading for any student or researcher looking for a guide to modern trends in stochastic analysis and neighbouring fields.


Probabilistic Methods in Fluids

Probabilistic Methods in Fluids

Author: Ian Malcolm Davies

Publisher: World Scientific

Published: 2003

Total Pages: 383

ISBN-13: 9812703985

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This volume contains recent research papers presented at the international workshop on OC Probabilistic Methods in FluidsOCO held in Swansea. The central problems considered were turbulence and the NavierOCoStokes equations but, as is now well known, these classical problems are deeply intertwined with modern studies of stochastic partial differential equations, jump processes and random dynamical systems. The volume provides a snapshot of current studies in a field where the applications range from the design of aircraft through the mathematics of finance to the study of fluids in porous media."


Topics in Mathematical Fluid Mechanics

Topics in Mathematical Fluid Mechanics

Author: Peter Constantin

Publisher: Springer

Published: 2013-04-03

Total Pages: 323

ISBN-13: 3642362974

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This volume brings together five contributions to mathematical fluid mechanics, a classical but still very active research field which overlaps with physics and engineering. The contributions cover not only the classical Navier-Stokes equations for an incompressible Newtonian fluid, but also generalized Newtonian fluids, fluids interacting with particles and with solids, and stochastic models. The questions addressed in the lectures range from the basic problems of existence of weak and more regular solutions, the local regularity theory and analysis of potential singularities, qualitative and quantitative results about the behavior in special cases, asymptotic behavior, statistical properties and ergodicity.