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Cambridge University Press Cambridge Computational Stochastic PDEs - Applied Mathematics

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£57.00 £51.59 £52.77 £53.95 £55.13 £56.31 £57.49 25 July 2026 31 July 2026 07 August 2026 14 August 2026 21 August 2026
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Description

An Introduction to Computational Stochastic PDEs by Cambridge University Press provides a comprehensive guide to numerical methods and the analysis of stochastic processes. This text is designed for graduate students and researchers seeking to master uncertainty quantification for risk analysis. The book covers essential topics including random fields, stochastic differential equations, and traditional stochastic ODEs with white noise forcing. Readers will explore strong and weak approximation techniques along with the multi-level Monte Carlo method. Later sections apply random field theory to the numerical solution of elliptic PDEs with correlated random data and introduce the Monte Carlo method. This resource serves as a foundational tool for those working in applied mathematics and professional finance.

Key Features

Cambridge University Press provides this comprehensive text on numerical methods and stochastic processes.

The book covers traditional stochastic ODEs with white noise forcing and strong and weak approximation techniques.

Learn advanced computational tools like the multi-level Monte Carlo method for stochastic analysis.

Apply the theory of random fields to the numerical solution of elliptic PDEs with correlated random data.

Provides graduate students and researchers with methods for uncertainty quantification in risk analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 October 2014
Listed Since
24 July 2013

Barcode

No barcode data available

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