{"product_id":"an-introduction-to-computational-stochastic-pdes-9780521899901","title":"An Introduction to Computational Stochastic Pdes","description":"This book gives a comprehensive introduction to numerical methods and analysis of stochastic processes, random fields and stochastic differential equations, and offers graduate students and researchers powerful tools for understanding uncertainty quantification for risk analysis. Coverage includes traditional stochastic ODEs with white noise forcing, strong and weak approximation, and the multi-level Monte Carlo method. Later chapters apply the theory of random fields to the numerical solution of elliptic PDEs with correlated random data, discuss the Monte Carlo method, and introduce stochastic Galerkin finite-element methods. Finally, stochastic parabolic PDEs are developed. Assuming little previous exposure to probability and statistics, theory is developed in tandem with state-of the art computational methods through worked examples, exercises, theorems and proofs. The set of MATLAB codes included (and downloadable) allows readers to perform computations themselves and solve the test problems discussed. Practical examples are drawn from finance, mathematical biology, neuroscience, fluid flow modeling and materials science.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gabriel Lord,Catherine Elizabeth Powell,Tony Shardlow\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Cambridge University Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/11\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 516\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.25lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.70h x 6.90w x 1.30d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9780521899901\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eShardlow, Tony:\u003c\/i\u003e\u003c\/b\u003e - Tony Shardlow has been working in the numerical analysis group at the University of Bath since 2012. Before that, he held appointments at the universities of Manchester, Durham, Oxford, and Minnesota. He completed his Ph.D. in Scientific Computing and Computational Mathematics at Stanford University in 1997.\u003c\/p\u003e","brand":"Cambridge University Press","offers":[{"title":"Hardcover","offer_id":43792709386355,"sku":"9.78052E+12","price":264.62,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_baf5e0d9-524a-46b4-99be-71be672fd4ac.jpg?v=1758103724","url":"https:\/\/bookstorenmore.com\/products\/an-introduction-to-computational-stochastic-pdes-9780521899901","provider":"Bookstore N More","version":"1.0","type":"link"}