An introduction to computational stochastic PDEs / (Record no. 292238)

000 -LEADER
fixed length control field 02667cam a2200277 i 4500
001 - CONTROL NUMBER
control field 18037790
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160510142814.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140210t20142014nyu b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521728522 (pbk.)
040 ## - CATALOGING SOURCE
Transcribing agency UG
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.25
Item number L67
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lord, Gabriel J.
245 13 - TITLE STATEMENT
Title An introduction to computational stochastic PDEs /
Statement of responsibility, etc Gabriel J. Lord, Catherine E. Powell, Tony Shardlow.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc Cambridge Univ. P.,
Date of publication, distribution, etc 2014.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 503 p. :
Other physical details ill., graphs, diagrs.
490 0# - SERIES STATEMENT
Series statement (Cambridge texts in applied mathematics ;
Volume number/sequential designation v. 50)
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Part I. Deterministic Differential Equations: 1. Linear analysis; 2. Galerkin approximation and finite elements; 3. Time-dependent differential equations; Part II. Stochastic Processes and Random Fields: 4. Probability theory; 5. Stochastic processes; 6. Stationary Gaussian processes; 7. Random fields; Part III. Stochastic Differential Equations: 8. Stochastic ordinary differential equations (SODEs); 9. Elliptic PDEs with random data; 10. Semilinear stochastic PDEs.
520 ## - SUMMARY, ETC.
Summary, etc "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"--
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Vendor Jeremy Mathews
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic partial differential equations.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Powell, Catherine E.,
Relator term author.
Personal name Shardlow, Tony,
Relator term author.
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Cover image
Uniform Resource Identifier http://assets.cambridge.org/97805218/99901/cover/9780521899901.jpg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Entry Department TSD
Source of classification or shelving scheme
Acquisition - Verified JB
Verified KB
Holdings
Price effective from Permanent Location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Shelving location Barcode Damaged status Lost status Withdrawn status Current Location Full call number
2016-04-25Turkeyen Campus2016-04-25 2016-04-25 3 Weeks LoanScience & Technology285913   Turkeyen CampusQA274.25 L67