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EBOOK
Author Grigoriu, Mircea.
Title Stochastic systems : uncertainty quantification and propagation / Mircea Grigoriu.
Imprint London ; New York : Springer, 2012.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series Springer series in reliability engineering, 1614-7839
Springer series in reliability engineering.
Subject Stochastic differential equations.
Stochastic processes.
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Springer series in reliability engineering, 1614-7839
Springer series in reliability engineering.
Subject Stochastic differential equations.
Stochastic processes.
Description 1 online resource (xi, 529 pages).
Bibliography Note Includes bibliographical references and index.
Contents Introduction -- Essentials of Probability Theory -- Random Functions -- Stochastic Integrals -- Ito's Formula and Applications -- Probabilistic Models -- Stochastic Ordinary Differential and Difference Equations -- Stochastic Algebraic Equations -- Stochastic Partial Differential Equations.
Summary Annotation This title offers accurate, efficient methods for solving stochastic equations, with a focus on formulating equations that apply to problems in engineering and applied sciences. Throughout the book, numerous examples illustrate essential theoretical concepts, models and methods.
ISBN 9781447123279 (electronic bk.)
1447123271 (electronic bk.)
1447123263
9781447123262
ISBN/ISSN 9786613704849
OCLC # 794176799
Additional Format Print version: Stochastic systems (NL-LeOCL)338847308