In recent years the study of numerical methods for solving ordinary differential equations has seen many new developments.
A balance between informal discussion and rigorous mathematical style.
44.
US$39.99, US$13.37 10. A detailed analysis of Runge-Kutta methods and of linear multistep methods.
A balance between informal discussion and rigorous mathematical style.
Consistency, Stability and Convergence. Symplectic Runge-Kutta Methods. Implementation Issues. Although the specialist topics are taken to an advanced level, the entry point to the volume as a whole is not especially demanding. [5] J. C. Butcher, The Numerical Analysis of Ordinary Differential Equations, John Wiley & Sons (1986).
It includes a complete treatment of linear multistep methods whilst maintaining its unique and comprehensive emphasis on Runge-Kutta methods … US$16.95, US$15.37 36. 5. Preliminaries.
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In recent years the study of numerical methods for solving ordinary differential equations has seen many new developments. Preface to the first edition.
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Written in a lucid style by one of the worlds leading authorities on numerical methods for ordinary differential equations and drawing upon his vast experience, this new edition provides an accessible and self-contained introduction, ideal for researchers and students following courses on numerical methods, engineering and other sciences.
The file will be sent to your Kindle account. Early chapters provide a wide-ranging introduction to differential equations and difference equations together with a survey of numerical differential equation methods, based on the fundamental Euler method with more sophisticated methods presented as generalizations of Euler.
Difference Equation Problems. Generalizations of the Euler Method. Converted file can differ from the original. Written in a lucid style by one of the worlds leading authorities on numerical methods for ordinary differential equations and drawing upon his vast experience, this new edition provides an accessible and self-contained introduction, ideal for researchers and students following courses on numerical methods, engineering and other sciences.
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