<DIV>This text develops the theory of systems of stochastic differential equations and presents applications in probability, partial differential equations, and stochastic control problems. Originally published in 2 volumes, it combines a book of basic theory with a book of applications. Familiarity
Stochastic differential equations and applications
โ Scribed by Mao X.
- Publisher
- Woodhead
- Year
- 2007
- Tongue
- English
- Leaves
- 445
- Edition
- 2ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source for pure and applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists
๐ SIMILAR VOLUMES
<DIV>This text develops the theory of systems of stochastic differential equations and presents applications in probability, partial differential equations, and stochastic control problems. Originally published in 2 volumes, it combines a book of basic theory with a book of applications. Familiarity
This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source for pure and
The object of this book is to develop the theory of systems of stochastic differential equations and then give applications in probability, partial differential equations and stochastic control problems. In Volume 1 we develop the basic theory of stochastic differential equations and give a few sele
This volume begins with auxiliary results in partial differential equations (Chapter 10) that are needed in the sequel. In Chapters 11 and 12 we study the behavior of the sample paths of solutions of stochastic differential equations in the same spirit as in Chapter 9. Chapter 11 deals with the ques