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OverviewGives greater rigor to numerical treatments of stochastic models. Contains Monte Carlo and quasi-Monte Carlo techniques, simulation of major stochastic procedures, deterministic methods adapted to Markovian problems and special problems related to stochastic integral and differential equations. Simulation methods are given throughout the text as well as numerous exercises. Full Product DetailsAuthor: Nicolas Bouleau (Ecole Nationale des Ponts et Chaussées) , Dominique Lépingle (University d'Orléans)Publisher: John Wiley & Sons Inc Imprint: Wiley-Interscience Dimensions: Width: 16.10cm , Height: 2.70cm , Length: 24.20cm Weight: 0.683kg ISBN: 9780471546412ISBN 10: 0471546410 Pages: 384 Publication Date: 07 February 1994 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsAuthor InformationNicolas Bouleau is a mathematician, philosopher of science and essayist, professor at Ecole des Ponts Paris Tech. He was responsible for introducing computer simulation into the teaching of probability and was among the first to develop research in mathematical finance in France. Dominique Lépingle is the author of Numerical Methods for Stochastic Processes, published by Wiley. Tab Content 6Author Website:Countries AvailableAll regions |
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