Nonlinear ordinary differential equations : analytical approximation and numerical methods
著者
書誌事項
Nonlinear ordinary differential equations : analytical approximation and numerical methods
Springer, c2016
- : pbk
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注記
"Softcover reprint of the hardcover 1st edition 2016"--T.p. verso
Includes bibliographical references (p. 301-306) and index
内容説明・目次
内容説明
The book discusses the solutions to nonlinear ordinary differential equations (ODEs) using analytical and numerical approximation methods. Recently, analytical approximation methods have been largely used in solving linear and nonlinear lower-order ODEs. It also discusses using these methods to solve some strong nonlinear ODEs. There are two chapters devoted to solving nonlinear ODEs using numerical methods, as in practice high-dimensional systems of nonlinear ODEs that cannot be solved by analytical approximate methods are common. Moreover, it studies analytical and numerical techniques for the treatment of parameter-depending ODEs.
The book explains various methods for solving nonlinear-oscillator and structural-system problems, including the energy balance method, harmonic balance method, amplitude frequency formulation, variational iteration method, homotopy perturbation method, iteration perturbation method, homotopy analysis method, simple and multiple shooting method, and the nonlinear stabilized march method. This book comprehensively investigates various new analytical and numerical approximation techniques that are used in solving nonlinear-oscillator and structural-system problems. Students often rely on the finite element method to such an extent that on graduation they have little or no knowledge of alternative methods of solving problems. To rectify this, the book introduces several new approximation techniques.
目次
A Brief Review of Elementary Analytical Methods for Solving Nonlinear ODEs.- Analytical Approximation Methods.- Further Analytical Approximation Methods and Some Applications.- Nonlinear Two-Point Boundary Value Problems.- Numerical Treatment of Parameterized Two-Point Boundary Value Problems.
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