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This book deals with equations that have played a central role in the interplay between partial differential equations and probability theory. Most of...Lees meer
This book is based on a course given at Massachusetts Institute of Technology. It is intended to be a reasonably self-contained introduction to stocha...Lees meer
When the first edition of this textbook published in 2011, it constituted a substantial revision of the best-selling Birkhäuser title by the same auth...Lees meer
To some extent, it would be accurate to summarize the contents of this book as an intolerably protracted description of what happens when either one r...Lees meer
This book deals with equations that have played a central role in the interplay between partial differential equations and probability theory. Most of...Lees meer
Stroock, Daniel W.: Some applications of stochastic calculus to partial differential equations.- Ikeda, Nobuyuki: Probabilistic methods in the study o...Lees meer
This edition develops the basic theory of Fourier transform. Stroock's approach is the one taken originally by Norbert Wiener and the Parseval's formu...Lees meer
This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material coveredhere has appeared in other places,...Lees meer
Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller...Lees meer
This second edition of Daniel W. Stroock's text is suitable for first-year graduate students with a good grasp of introductory, undergraduate probabil...Lees meer