BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Three Classes of Nonlinear Stochastic Partial Differential Equations

Three Classes of Nonlinear Stochastic Partial Differential Equations

Three Classes of Nonlinear Stochastic Partial Differential Equations
Stock photo: cover may vary

Three Classes of Nonlinear Stochastic Partial Differential Equations Hardback - 2013

by Xiong, Jie

Add to wish list
  • New
  • Hardback
New

Description

World Scientific Pub Co Inc, 2013. Hardcover. New. 1st edition. 176 pages. 9.25x6.25x0.75 inches.
Ask the seller a question Add to wish list
NZ$222.20
NZ$35.43 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)

Details

  • Title Three Classes of Nonlinear Stochastic Partial Differential Equations
  • Author Xiong, Jie
  • Binding Hardback
  • Condition New
  • Pages 176
  • Volumes 1
  • Language ENG
  • Publisher World Scientific Pub Co Inc
  • Publication date 2013
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # x-9814452351
  • ISBN 9789814452359 / 9814452351
  • Weight 0.97 lbs (0.44 kg)
  • Dimensions 9.1 x 6.1 x 0.7 in (23.11 x 15.49 x 1.78 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Mathematics
  • Dewey Decimal Code 519.2
  • Quantity available 2

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for Three Classes of Nonlinear Stochastic Partial Differential Equations

From the jacket flap

The study of measure-valued processes in random environments has seen some intensive research activities in recent years whereby interesting nonlinear stochastic partial differential equations (SPDEs) were derived. Due to the nonlinearity and the non-Lipschitz continuity of their coefficients, new techniques and concepts have recently been developed for the study of such SPDEs. These include the conditional Laplace transform technique, the conditional mild solution, and the bridge between SPDEs and some kind of backward stochastic differential equations. This volume provides an introduction to these topics with the aim of attracting more researchers into this exciting and young area of research. It can be considered as the first book of its kind. The tools introduced and developed for the study of measure-valued processes in random environments can be used in a much broader area of nonlinear SPDEs.
tracking-