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Elements Of Stochastic Dynamics

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Release : 2016-08-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 347/5 ( reviews)

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Book Synopsis Elements Of Stochastic Dynamics by : Guo-qiang Cai

Download or read book Elements Of Stochastic Dynamics written by Guo-qiang Cai. This book was released on 2016-08-11. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic dynamics has been a subject of interest since the early 20th Century. Since then, much progress has been made in this field of study, and many modern applications for it have been found in fields such as physics, chemistry, biology, ecology, economy, finance, and many branches of engineering including Mechanical, Ocean, Civil, Bio, and Earthquake Engineering.Elements of Stochastic Dynamics aims to meet the growing need to understand and master the subject by introducing fundamentals to researchers who want to explore stochastic dynamics in their fields and serving as a textbook for graduate students in various areas involving stochastic uncertainties. All topics within are presented from an application approach, and may thus be more appealing to users without a background in pure Mathematics. The book describes the basic concepts and theories of random variables and stochastic processes in detail; provides various solution procedures for systems subjected to stochastic excitations; introduces stochastic stability and bifurcation; and explores failures of stochastic systems. The book also incorporates some latest research results in modeling stochastic processes; in reducing the system degrees of freedom; and in solving nonlinear problems. The book also provides numerical simulation procedures of widely-used random variables and stochastic processes.A large number of exercise problems are included in the book to aid the understanding of the concepts and theories, and may be used for as course homework.

Elements of Stochastic Dynamics

Download Elements of Stochastic Dynamics PDF Online Free

Author :
Release : 2016
Genre :
Kind : eBook
Book Rating : 336/5 ( reviews)

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Book Synopsis Elements of Stochastic Dynamics by : Guo-Qiang Cai

Download or read book Elements of Stochastic Dynamics written by Guo-Qiang Cai. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Processes in Dynamics

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Author :
Release : 1982-11-30
Genre : Science
Kind : eBook
Book Rating : 868/5 ( reviews)

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Book Synopsis Stochastic Processes in Dynamics by : B. Skalmierski

Download or read book Stochastic Processes in Dynamics written by B. Skalmierski. This book was released on 1982-11-30. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Stochastic Dynamics

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Release : 2015-04-13
Genre : Mathematics
Kind : eBook
Book Rating : 394/5 ( reviews)

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Book Synopsis An Introduction to Stochastic Dynamics by : Jinqiao Duan

Download or read book An Introduction to Stochastic Dynamics written by Jinqiao Duan. This book was released on 2015-04-13. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction for applied mathematicians to concepts and techniques for describing, quantifying, and understanding dynamics under uncertainty.

Stochastic Differential Equations

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Release : 2017-03-15
Genre : Mathematics
Kind : eBook
Book Rating : 404/5 ( reviews)

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Book Synopsis Stochastic Differential Equations by : Michael J. Panik

Download or read book Stochastic Differential Equations written by Michael J. Panik. This book was released on 2017-03-15. Available in PDF, EPUB and Kindle. Book excerpt: A beginner’s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics. This makes stochastic modeling a powerful tool in the hands of practitioners in fields for which population growth is a critical determinant of outcomes. However, the background requirements for studying SDEs can be daunting for those who lack the rigorous course of study received by math majors. Designed to be accessible to readers who have had only a few courses in calculus and statistics, this book offers a comprehensive review of the mathematical essentials needed to understand and apply stochastic growth models. In addition, the book describes deterministic and stochastic applications of population growth models including logistic, generalized logistic, Gompertz, negative exponential, and linear. Ideal for students and professionals in an array of fields including economics, population studies, environmental sciences, epidemiology, engineering, finance, and the biological sciences, Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling: • Provides precise definitions of many important terms and concepts and provides many solved example problems • Highlights the interpretation of results and does not rely on a theorem-proof approach • Features comprehensive chapters addressing any background deficiencies readers may have and offers a comprehensive review for those who need a mathematics refresher • Emphasizes solution techniques for SDEs and their practical application to the development of stochastic population models An indispensable resource for students and practitioners with limited exposure to mathematics and statistics, Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling is an excellent fit for advanced undergraduates and beginning graduate students, as well as practitioners who need a gentle introduction to SDEs. Michael J. Panik, PhD, is Professor in the Department of Economics, Barney School of Business and Public Administration at the University of Hartford in Connecticut. He received his PhD in Economics from Boston College and is a member of the American Mathematical Society, The American Statistical Association, and The Econometric Society.

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