Handbook Of Stochastic Methods


Handbook Of Stochastic Methods
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Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences


Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences
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Author : Crispin W. Gardiner
language : en
Publisher: Springer
Release Date : 1985

Handbook Of Stochastic Methods For Physics Chemistry And The Natural Sciences written by Crispin W. Gardiner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.


The handbook covers systematically and in simple language the foundations of Markov systems, stochastic differential equations, Fokker-Planck equations, approximation methods, chemical master equations and quantum-mechanical Markov processes. Strong emphasis is placed on systematic approximation methods for solving problems. Stochastic adiabatic elimination is newly formulated. The book contains the 'folklore' of stochastic methods in systematic form, and is suitable for use as a reference work. In this second edition extra material has been added with recent progress in stochastic methods taken into account.



Stochastic Methods


Stochastic Methods
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Author : Crispin Gardiner
language : en
Publisher: Springer
Release Date : 2010-10-19

Stochastic Methods written by Crispin Gardiner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-19 with Science categories.


In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.



Handbook Of Stochastic Methods


Handbook Of Stochastic Methods
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Author : Crispin W. Gardiner
language : en
Publisher: Springer Verlag
Release Date : 1985-01-01

Handbook Of Stochastic Methods written by Crispin W. Gardiner and has been published by Springer Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-01-01 with Mathematics categories.




Handbook Of Stochastic Methods


Handbook Of Stochastic Methods
DOWNLOAD

Author : Crispin Gardiner
language : en
Publisher: Springer
Release Date : 1985

Handbook Of Stochastic Methods written by Crispin Gardiner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Science categories.


In the third edition of this classic the chapter on quantum Marcov processes has been replaced by a chapter on numerical treatment of stochastic differential equations to make the book even more valuable for practitioners.



Handbook Of Stochastic Analysis And Applications


Handbook Of Stochastic Analysis And Applications
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Author : D. Kannan
language : en
Publisher: CRC Press
Release Date : 2001-10-23

Handbook Of Stochastic Analysis And Applications written by D. Kannan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-23 with Mathematics categories.


An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.



Quantum Noise


Quantum Noise
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Author : Crispin Gardiner
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-08-27

Quantum Noise written by Crispin Gardiner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-27 with Science categories.


This book offers a systematic and comprehensive exposition of the quantum stochastic methods that have been developed in the field of quantum optics. It includes new treatments of photodetection, quantum amplifier theory, non-Markovian quantum stochastic processes, quantum input--output theory, and positive P-representations. It is the first book in which quantum noise is described by a mathematically complete theory in a form that is also suited to practical applications. Special attention is paid to non-classical effects, such as squeezing and antibunching. Chapters added to the previous edition, on the stochastic Schrödinger equation, and on cascaded quantum systems, and now supplemented, in the third edition by a chapter on recent developments in various pertinent fields such as laser cooling, Bose-Einstein condensation, quantum feedback and quantum information.



Stochastic Methods For Estimation And Problem Solving In Engineering


Stochastic Methods For Estimation And Problem Solving In Engineering
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Author : Kadry, Seifedine
language : en
Publisher: IGI Global
Release Date : 2018-03-02

Stochastic Methods For Estimation And Problem Solving In Engineering written by Kadry, Seifedine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-02 with Technology & Engineering categories.


Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that produces statistical patterns, it becomes easier to find solutions to countless situations. Stochastic Methods for Estimation and Problem Solving in Engineering provides emerging research on the role of random probability systems in mathematical models used in various fields of research. While highlighting topics, such as random probability distribution, linear systems, and transport profiling, this book explores the use and behavior of uncertain probability methods in business and science. This book is an important resource for engineers, researchers, students, professionals, and practitioners seeking current research on the challenges and opportunities of non-deterministic probability models.



Handbook Of Brownian Motion Facts And Formulae


Handbook Of Brownian Motion Facts And Formulae
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Author : Andrei N. Borodin
language : en
Publisher: Springer Science & Business Media
Release Date : 2015-07-14

Handbook Of Brownian Motion Facts And Formulae written by Andrei N. Borodin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-14 with Mathematics categories.


Here is easy reference to a wealth of facts and formulae associated with Brownian motion, collecting in one volume more than 2500 numbered formulae. The book serves as a basic reference for researchers, graduate students, and people doing applied work with Brownian motion and diffusions, and can be used as a source of explicit examples when teaching stochastic processes.



Applied Stochastic Differential Equations


Applied Stochastic Differential Equations
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Author : Simo Särkkä
language : en
Publisher: Cambridge University Press
Release Date : 2019-05-02

Applied Stochastic Differential Equations written by Simo Särkkä and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-02 with Business & Economics categories.


With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.



Stochastic Processes And Applications


Stochastic Processes And Applications
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Author : Grigorios A. Pavliotis
language : en
Publisher: Springer
Release Date : 2014-11-19

Stochastic Processes And Applications written by Grigorios A. Pavliotis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-19 with Mathematics categories.


This book presents various results and techniques from the theory of stochastic processes that are useful in the study of stochastic problems in the natural sciences. The main focus is analytical methods, although numerical methods and statistical inference methodologies for studying diffusion processes are also presented. The goal is the development of techniques that are applicable to a wide variety of stochastic models that appear in physics, chemistry and other natural sciences. Applications such as stochastic resonance, Brownian motion in periodic potentials and Brownian motors are studied and the connection between diffusion processes and time-dependent statistical mechanics is elucidated. The book contains a large number of illustrations, examples, and exercises. It will be useful for graduate-level courses on stochastic processes for students in applied mathematics, physics and engineering. Many of the topics covered in this book (reversible diffusions, convergence to equilibrium for diffusion processes, inference methods for stochastic differential equations, derivation of the generalized Langevin equation, exit time problems) cannot be easily found in textbook form and will be useful to both researchers and students interested in the applications of stochastic processes.