Tracked shipping to New Zealand with premium packaging for just NZ$15 

Ship to
New Zealand
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear Spdes II
Type
Physical Book
Author
Publisher
Language
English
Pages
129
Format
Paperback
Dimensions
23.4 x 15.6 x 0.8 cm
Weight
0.22 kg.
ISBN13
9783319125190
Categories

Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear Spdes II

Shouhong Wang (Author) · Mickaël D. Chekroun (Author) · Honghu Liu (Author) · Springer · Paperback

Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear Spdes II - Chekroun, Mickaël D. ; Liu, Honghu ; Wang, Shouhong

Cheaper New Book Imported to New Zealand
Delivery: 03 Sep - 15 Sep Shipping: 12 to 16 business days.
NZ$ 124.14
Faster New Book Imported to New Zealand
Delivery: 21 Aug - 28 Aug Shipping: 4 to 5 business days.
NZ$ 156.93
Import costs and 15% GST included in the price ✅
NZ$ 124.14

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations: Stochastic Manifolds for Nonlinear Spdes II"

In this second volume, a general approach is developed to provide approximate parameterizations of the "small" scales by the "large" ones for a broad class of stochastic partial differential equations (SPDEs). This is accomplished via the concept of parameterizing manifolds (PMs), which are stochastic manifolds that improve, for a given realization of the noise, in mean square error the partial knowledge of the full SPDE solution when compared to its projection onto some resolved modes. Backward-forward systems are designed to give access to such PMs in practice. The key idea consists of representing the modes with high wave numbers as a pullback limit depending on the time-history of the modes with low wave numbers. Non-Markovian stochastic reduced systems are then derived based on such a PM approach. The reduced systems take the form of stochastic differential equations involving random coefficients that convey memory effects. The theory is illustrated on a stochastic Burgers-type equation.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews