
Stochastic versus Deterministic Systems of Differential Equations
CRC Press
1st Edition
Published on 5. December 2003
Book
Hardback
300 pages
978-0-8247-4697-1 (ISBN)
Article exhausted; check different version
Description
This peerless reference/text unfurls a unified and systematic study of the two types of mathematical models of dynamic processes-stochastic and deterministic-as placed in the context of systems of stochastic differential equations. Using the tools of variational comparison, generalized variation of constants, and probability distribution as its methodological backbone, Stochastic Versus Deterministic Systems of Differential Equations addresses questions relating to the need for a stochastic mathematical model and the between-model contrast that arises in the absence of random disturbances/fluctuations and parameter uncertainties both deterministic and stochastic.
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Differential equations researchers, physicists, and graduate students in these disciplines
Dimensions
Height: 280 mm
Width: 210 mm
Weight
590 gr
ISBN-13
978-0-8247-4697-1 (9780824746971)
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Schweitzer Classification
Other editions
Additional editions

G. S. Ladde | M. Sambandham
Stochastic versus Deterministic Systems of Differential Equations
E-Book
05/2014
1st Edition
CRC Press
€330.99
Available for download

G. S. Ladde | M. Sambandham
Stochastic versus Deterministic Systems of Differential Equations
E-Book
12/2003
1st Edition
CRC Press
€330.99
Available for download
Persons
Author
University of Texas, Arlington, Texas, USA
Morehouse College, Atlanta, Georgia, USA
Content
This peerless reference/text unfurls a unified and systematic study of the two types of mathematical models of dynamic processes-stochastic and deterministic-as placed in the context of systems of stochastic differential equations. Using the tools of variational comparison, generalized variation of constants, and probability distribution as its methodological backbone, Stochastic Versus Deterministic Systems of Differential Equations addresses questions relating to the need for a stochastic mathematical model and the between-model contrast that arises in the absence of random disturbances/fluctuations and parameter uncertainties both deterministic and stochastic.