Introduction to Monte-Carlo Methods for Transport and Diffusion Equations by Bernard Lapeyre & Etienne Pardoux & Remi Sentis

Introduction to Monte-Carlo Methods for Transport and Diffusion Equations Monte-Carlo methods is the generic term given to numerical methods that use sampling of random numbers. This text is aimed at graduate students in mathematics, physics, engineering, economics, finance, and the biosciences who are interested in using Monte-Carlo methods for the resolution of partial differential equations, transport equations, the Boltzmann equation and the parabolic equations of diffusion. It includes applied examples, particularly in mathematical finance, along with discussion of the limits of the methods and description of specific techniques used in practice for each example. This is the sixth volume in the "Oxford Texts in Applied and Engineering Mathematics" series, which includes texts based on taught courses that explain the mathematical or computational techniques required for the resolution of fundamental applied problems, from the undergraduate through to the graduate level. Other books in the series include: Jordan and Smith's "Nonlinear Ordinary Differential Equations - An introduction to Dynamical Systems"; Sobey's "Introduction to Interactive Boundary Layer Theory"; Scott's "Nonlinear Science - Emergence and Dynamics of Coherent Structures"; Tayler's "Mathematical Models in Applied Mechanics"; Ram-Mohan's "Finite Element and Boundary Element Applications in Quantum Mechanics"; and Elishakoff and Ren's "Finite Element Methods for Structures with Large Stochastic Variations."
Author(s) : Format : Hardback Book
ISBN-10 : 0198525923 ISBN-13 : 9780198525929
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Product Details:

Series Title : Oxford Texts in Applied & Engineering Mathematics

Country Publication : United Kingdom

Publication Date : 01/01/2003

Publisher : Oxford University Press

Page Length : 174mm

Page Size : 234mm