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Stochastic Partial Differential Equations [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  0521483190
  • ISBN-10:  0521483190
  • ISBN-13:  9780521483193
  • ISBN-13:  9780521483193
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  348
  • Pages:  348
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-1995
  • Pub Date:  01-May-1995
  • SKU:  0521483190-11-MPOD
  • SKU:  0521483190-11-MPOD
  • Item ID: 100891270
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
Consists of papers given at the ICMS meeting held in 1994 on this topic, and brings together some of the world's best known authorities on stochastic partial differential equations.Stochastic partial differential equations can be used to model complex systems evolving over time. This analysis includes the stochastic Navier-Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups.Stochastic partial differential equations can be used to model complex systems evolving over time. This analysis includes the stochastic Navier-Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups.Stochastic partial differential equations can be used in many areas of science to model complex systems evolving over time. This book assembles together some of the world's best known authorities on stochastic partial differential equations. Subjects include the stochastic Navier-Stokes equation, critical branching systems, population models, statistical dynamics, and ergodic properties of Markov semigroups. For all workers on stochastic partial differential equations, this book will have much to offer.1. Stochastic differential equations with boundary conditions and the change of measure method A. Alabert; 2. The Martin boundary of the Brownian sheet O. Brockhaus; 3. Neocompact sets and stochastic Navier-Stokes equations N. Cutland and J. Keisler; 4. Numerical experiments with spdes J. Gaines; 5. Contour processes of random trees J. Geiger; 6. On a class of quasilinear stochastic differential equations of parabolic type: regular dependence of solutions on initial data N. Y. Goncharuk; 7. Fluctuations of a two-level critical branching system L. Gorostiza; 8. Non-persistence of two-level branching systems in low dimensions K. Hochberg and A. Wakolbing; 9. The stochastic Wick-type Burger's equation H. Holden, T. Lindstrom and B. Oksendal; 10. A weak intl£5
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