新生學校財團法人新生醫護管理專科學校圖書館 |

Lectures on dynamics of stochastic systems

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Lectures on dynamics of stochastic systems/ edited by Valery I. Klyatskin ; translated from Russian by A. Vinogradov.
其他作者:	Kl�i�a�t�skin, Valeri�i Isaakovich.
出版者:	Burlington, MA :Elsevier, : 2011.,
面頁冊數:	1 online resource (xiv, 396 p.) :ill. :
標題:	Stochastic processes. -
電子資源:	http://www.sciencedirect.com/science/book/9780123849663
ISBN:	9780123849663 (electronic bk.)

Lectures on dynamics of stochastic systems
Lectures on dynamics of stochastic systems[electronic resource] /edited by Valery I. Klyatskin ; translated from Russian by A. Vinogradov. - 1. ed. - Burlington, MA :Elsevier,2011. - 1 online resource (xiv, 396 p.) :ill. - Elsevier insights. - Elsevier insights..

Includes bibliographical references.

Part I: Dynamical description of stochastic systems -- 1. Examples, basic problems, peculiar features of solutions -- 2. Solution dependence on problem type, medium parameters, and initial data -- 3. Indicator function and Liouville -- Part II: Statistical description of stochastic systems -- 4. Random quantities, processes, and fields -- 5. Correlation splitting -- 6. General approaches to analyzing stochastic systems -- 7. Stochastic equations with the Markovian fluctuations of -- parameters -- 8. Approximation of Gaussian random field delta-correlated in time -- 9. Methods for solving and analyzing the Fokker-Planck equation -- 10. Some other approximate approaches to the problems of statistical hydrodynamics -- Part III: Examples of coherent phenomena in stochastic dynamic systems -- 11. Passive tracer clustering and diffusion in random hydrodynamic and magnetohydrodynamic flows -- 12. Wave localization in randomly layered media -- 13. Caustic structure of wavefield in random media.

Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters and solutions. The fundamental problem of stochastic dynamics is to identify the essential characteristics of system (its state and evolution), and relate those to the input parameters of the system and initial data. This book is a revised and more comprehensive version of Dynamics of Stochastic Systems. Part I provides an introduction to the topic. Part II is devoted to the general theory of statistical analysis of dynamic systems with fluctuating parameters described by differential and integral equations. Part III deals with the analysis of specific physical problems associated with coherent phenomena A comprehensive update of Dynamics of Stochastic Systems Develops mathematical tools of stochastic analysis and applies them to a wide range of physical models of particles, fluids and waves Includes problems for the reader to solve.

ISBN: 9780123849663 (electronic bk.)Subjects--Topical Terms:

121454
Stochastic processes.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: QA274 / .L43 2011eb

Dewey Class. No.: 530.15828

Lectures on dynamics of stochastic systems
LDR:03575cmm 2200385Ia 4500 001 166682
003 OCoLC
005 20111122091010.0
006 m d
007 cr cnu---unuuu
008 160302s2011 maua ob 000 0 eng d
020 $a 9780123849663 (electronic bk.)
020 $a 0123849675 (electronic bk.)
029 1 $a NZ1 $b 13642325
029 1 $a AU@ $b 000047500092
035 $a (OCoLC)668208515
035 $a ocn668208515
040 $a OPELS $b eng $c OPELS $d N $d YDXCP $d OCLCQ
041 1 $a eng $h rus
049 $a TEFA
050 4 $a QA274 $b .L43 2011eb
072 7 $a SCI $x 040000 $2 bisacsh
082 0 4 $a 530.15828 $2 22
245 0 0 $a Lectures on dynamics of stochastic systems $h [electronic resource] / $c edited by Valery I. Klyatskin ; translated from Russian by A. Vinogradov.
250 $a 1. ed.
260 $a Burlington, MA : $c 2011. $b Elsevier,
300 $a 1 online resource (xiv, 396 p.) : $b ill.
490 1 $a Elsevier insights
504 $a Includes bibliographical references.
505 0 $a Part I: Dynamical description of stochastic systems -- 1. Examples, basic problems, peculiar features of solutions -- 2. Solution dependence on problem type, medium parameters, and initial data -- 3. Indicator function and Liouville -- Part II: Statistical description of stochastic systems -- 4. Random quantities, processes, and fields -- 5. Correlation splitting -- 6. General approaches to analyzing stochastic systems -- 7. Stochastic equations with the Markovian fluctuations of -- parameters -- 8. Approximation of Gaussian random field delta-correlated in time -- 9. Methods for solving and analyzing the Fokker-Planck equation -- 10. Some other approximate approaches to the problems of statistical hydrodynamics -- Part III: Examples of coherent phenomena in stochastic dynamic systems -- 11. Passive tracer clustering and diffusion in random hydrodynamic and magnetohydrodynamic flows -- 12. Wave localization in randomly layered media -- 13. Caustic structure of wavefield in random media.
520 $a Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters and solutions. The fundamental problem of stochastic dynamics is to identify the essential characteristics of system (its state and evolution), and relate those to the input parameters of the system and initial data. This book is a revised and more comprehensive version of Dynamics of Stochastic Systems. Part I provides an introduction to the topic. Part II is devoted to the general theory of statistical analysis of dynamic systems with fluctuating parameters described by differential and integral equations. Part III deals with the analysis of specific physical problems associated with coherent phenomena A comprehensive update of Dynamics of Stochastic Systems Develops mathematical tools of stochastic analysis and applies them to a wide range of physical models of particles, fluids and waves Includes problems for the reader to solve.
588 $a Description based on print version record.
650 0 $a Stochastic processes. $3 121454
650 0 $a Stochastic systems. $3 128590
650 0 $a Random dynamical systems. $3 276798
650 7 $a SCIENCE $x Physics $x Mathematical & Computational. $2 bisacsh $3 324287
655 4 $a Electronic books. $2 local. $3 96803
700 1 $a Kl�i�a�t�skin, Valeri�i Isaakovich. $3 323744
776 0 8 $i Print version: $t Lectures on dynamics of stochastic systems. $b 1. ed. $d Burlington, MA : Elsevier, 2011 $z 9780123849663 $w (OCoLC)649801048
830 0 $a Elsevier insights. $3 228984
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780123849663
938 $a YBP Library Services $b YANK $n 3535011
994 $a C0 $b TEF