Nonlinear Stochastic Operator Equations


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Nonlinear Stochastic Operator Equations


Nonlinear Stochastic Operator Equations

Author: George Adomian

language: en

Publisher: Academic Press

Release Date: 2014-05-09


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Nonlinear Stochastic Operator Equations deals with realistic solutions of the nonlinear stochastic equations arising from the modeling of frontier problems in many fields of science. This book also discusses a wide class of equations to provide modeling of problems concerning physics, engineering, operations research, systems analysis, biology, medicine. This text discusses operator equations and the decomposition method. This book also explains the limitations, restrictions and assumptions made in differential equations involving stochastic process coefficients (the stochastic operator case), which yield results very different from the needs of the actual physical problem. Real-world application of mathematics to actual physical problems, requires making a reasonable model that is both realistic and solvable. The decomposition approach or model is an approximation method to solve a wide range of problems. This book explains an inherent feature of real systems—known as nonlinear behavior—that occurs frequently in nuclear reactors, in physiological systems, or in cellular growth. This text also discusses stochastic operator equations with linear boundary conditions. This book is intended for students with a mathematics background, particularly senior undergraduate and graduate students of advanced mathematics, of the physical or engineering sciences.

Stochastic Systems


Stochastic Systems

Author: Adomian

language: en

Publisher: Academic Press

Release Date: 1983-07-29


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Stochastic Systems

Nonlinear Stochastic Systems in Physics and Mechanics


Nonlinear Stochastic Systems in Physics and Mechanics

Author: N. Bellomo

language: en

Publisher: World Scientific

Release Date: 1987


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This book presents the conceptional line which goes from the observation of physical systems to their modeling and analysis by ordinary differential nonlinear stochastic equations.First, the problems of the mathematical modeling of physical systems are developed. These mathematical models are then classified in terms of ordinary differential stochastic equations from which both qualitative and quantitative results are developed.Each one of the various subjects are methods dealt with ends with an application in mathematical physics or in nonlinear mechanics.