Stochastic Differential Equations and Applications

Produk Detail:
  • Author : X Mao
  • Publisher : Elsevier
  • Pages : 440 pages
  • ISBN : 085709940X
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Stochastic Differential Equations and Applications

Download or Read online Stochastic Differential Equations and Applications full in PDF, ePub and kindle. this book written by X Mao and published by Elsevier which was released on 30 December 2007 with total page 440 pages. We cannot guarantee that Stochastic Differential Equations and Applications book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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. Has been revised and updated to cover the basic principles and applications of various types of stochastic systems Useful as a reference source for pure and applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists

Stochastic Differential Equations and Applications

Stochastic Differential Equations and Applications
  • Author : X Mao
  • Publisher : Elsevier
  • Release : 30 December 2007
GET THIS BOOK Stochastic Differential Equations and Applications

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. Has been revised and updated to cover the basic principles and applications of various types

Stochastic Differential Equations and Applications

Stochastic Differential Equations and Applications
  • Author : Avner Friedman
  • Publisher : Academic Press
  • Release : 20 June 2014
GET THIS BOOK Stochastic Differential Equations and Applications

Stochastic Differential Equations and Applications, Volume 1 covers the development of the basic theory of stochastic differential equation systems. This volume is divided into nine chapters. Chapters 1 to 5 deal with the basic theory of stochastic differential equations, including discussions of the Markov processes, Brownian motion, and the stochastic integral. Chapter 6 examines the connections between solutions of partial differential equations and stochastic differential equations, while Chapter 7 describes the Girsanov’s formula that is useful in the stochastic control theory. Chapters 8 and 9 evaluate

Stochastic Differential Equations

Stochastic Differential Equations
  • Author : Bernt Øksendal
  • Publisher : Springer Science & Business Media
  • Release : 09 November 2010
GET THIS BOOK Stochastic Differential Equations

This book gives an introduction to the basic theory of stochastic calculus and its applications. Examples are given throughout the text, in order to motivate and illustrate the theory and show its importance for many applications in e.g. economics, biology and physics. The basic idea of the presentation is to start from some basic results (without proofs) of the easier cases and develop the theory from there, and to concentrate on the proofs of the easier case (which nevertheless

Stochastic Differential Equations

Stochastic Differential Equations
  • Author : K. Sobczyk
  • Publisher : Springer Science & Business Media
  • Release : 01 December 2013
GET THIS BOOK Stochastic Differential Equations

'Et moi, ..~ si lavait su CO.llUlJalt en revc:nir, One acMcc matbcmatica bu JaIdcred the human rac:c. It bu put COIDIDOD _ beet je n'y serais point aBe.' Jules Verne wbac it bdoup, 0Jl!be~ IbcII _t to!be dusty cauialcr Iabc & d 'diMardod__ The series is divergent; thc:reforc we may be -'. I!.ticT. Bc:I1 able to do something with it. O. Hcavisidc Mathematics is a tool for thought. A highly necessary tool in a

Stochastic Differential Equations

Stochastic Differential Equations
  • Author : Bernt Oksendal
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOK Stochastic Differential Equations

From the reviews to the first edition: Most of the literature about stochastic differential equations seems to place so much emphasis on rigor and completeness that it scares the nonexperts away. These notes are an attempt to approach the subject from the nonexpert point of view.: Not knowing anything ... about a subject to start with, what would I like to know first of all. My answer would be: 1) In what situations does the subject arise ? 2) What are its essential features? 3)

Reflecting Stochastic Differential Equations with Jumps and Applications

Reflecting Stochastic Differential Equations with Jumps and Applications
  • Author : Situ Rong
  • Publisher : CRC Press
  • Release : 05 August 1999
GET THIS BOOK Reflecting Stochastic Differential Equations with Jumps and Applications

Many important physical variables satisfy certain dynamic evolution systems and can take only non-negative values. Therefore, one can study such variables by studying these dynamic systems. One can put some conditions on the coefficients to ensure non-negative values in deterministic cases. However, as a random process disturbs the system, the components of solutions to stochastic differential equations (SDE) can keep changing between arbitrary large positive and negative values-even in the simplest case. To overcome this difficulty, the author examines the

Stochastic Differential Equations and Applications

Stochastic Differential Equations and Applications
  • Author : Avner Friedman
  • Publisher : Academic Press
  • Release : 20 June 2014
GET THIS BOOK Stochastic Differential Equations and Applications

Stochastic Differential Equations and Applications, Volume 2 is an eight-chapter text that focuses on the practical aspects of stochastic differential equations. This volume begins with a presentation of the auxiliary results in partial differential equations that are needed in the sequel. The succeeding chapters describe the behavior of the sample paths of solutions of stochastic differential equations. These topics are followed by a consideration of an issue whether the paths can hit a given set with positive probability, as well as

Stochastic Differential Equations

Stochastic Differential Equations
  • Author : Ludwig Arnold
  • Publisher : Severn House Paperbacks
  • Release : 22 April 2021
GET THIS BOOK Stochastic Differential Equations

Practical and not too rigorous, this highly readable text on stochastic calculus provides an excellent introduction to stochastic partial differential equations. Written at a moderately advanced level, it covers important topics often ignored by other texts on the subject—including Fokker-Planck equations—and it functions as both a classroom text and a reference for professionals and students. The only prerequisite is the mathematical preparation usual for students of physical and engineering sciences. An introductory chapter, intended for reference and review,

Stochastic Flows and Stochastic Differential Equations

Stochastic Flows and Stochastic Differential Equations
  • Author : Hiroshi Kunita
  • Publisher : Cambridge University Press
  • Release : 03 April 1997
GET THIS BOOK Stochastic Flows and Stochastic Differential Equations

Stochastic analysis and stochastic differential equations are rapidly developing fields in probability theory and its applications. This book provides a systematic treatment of stochastic differential equations and stochastic flow of diffeomorphisms and describes the properties of stochastic flows. Professor Kunita's approach regards the stochastic differential equation as a dynamical system driven by a random vector field, including K. Itô's classical theory. Beginning with a discussion of Markov processes, martingales and Brownian motion, Kunita reviews Itô's stochastic analysis. He

Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
  • Author : Carlos A. Braumann
  • Publisher : John Wiley & Sons
  • Release : 08 March 2019
GET THIS BOOK Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance

A comprehensive introduction to the core issues of stochastic differential equations and their effective application Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author — a noted expert in the field — includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these

Stochastic Differential Equations

Stochastic Differential Equations
  • Author : Peter H. Baxendale,Sergey V. Lototsky
  • Publisher : World Scientific
  • Release : 22 April 2021
GET THIS BOOK Stochastic Differential Equations

This volume consists of 15 articles written by experts in stochastic analysis. The first paper in the volume, Stochastic Evolution Equations by N V Krylov and B L Rozovskii, was originally published in Russian in 1979. After more than a quarter-century, this paper remains a standard reference in the field of stochastic partial differential equations (SPDEs) and continues to attract the attention of mathematicians of all generations. Together with a short but thorough introduction to SPDEs, it presents a number of optimal,

Theory of Stochastic Differential Equations with Jumps and Applications

Theory of Stochastic Differential Equations with Jumps and Applications
  • Author : Rong SITU
  • Publisher : Springer Science & Business Media
  • Release : 06 May 2006
GET THIS BOOK Theory of Stochastic Differential Equations with Jumps and Applications

Stochastic differential equations (SDEs) are a powerful tool in science, mathematics, economics and finance. This book will help the reader to master the basic theory and learn some applications of SDEs. In particular, the reader will be provided with the backward SDE technique for use in research when considering financial problems in the market, and with the reflecting SDE technique to enable study of optimal stochastic population control problems. These two techniques are powerful and efficient, and can also be

Theory and Applications of Stochastic Differential Equations

Theory and Applications of Stochastic Differential Equations
  • Author : Zeev Schuss
  • Publisher : John Wiley & Sons Incorporated
  • Release : 22 April 1980
GET THIS BOOK Theory and Applications of Stochastic Differential Equations

Presents theory, sources, and applications of stochastic differential equations of Ito's type; those containing white noise. Closely studies first passage problems by modern singular perturbation methods and their role in various fields of science. Introduces analytical methods to obtain information on probabilistic quantities. Demonstrates the role of partial differential equations in this context. Clarifies the relationship between the complex mathematical theories involved and sources of the problem for physicists, chemists, engineers, and other non-mathematical specialists.

Numerical Solution of Stochastic Differential Equations

Numerical Solution of Stochastic Differential Equations
  • Author : Peter E. Kloeden,Eckhard Platen
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOK Numerical Solution of Stochastic Differential Equations

The numerical analysis of stochastic differential equations (SDEs) differs significantly from that of ordinary differential equations. This book provides an easily accessible introduction to SDEs, their applications and the numerical methods to solve such equations. From the reviews: "The authors draw upon their own research and experiences in obviously many disciplines... considerable time has obviously been spent writing this in the simplest language possible." --ZAMP