Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations, Edition 2

Name: Geometric Numerical Integration: Structure-Preserving Algorithms for Ordinary Differential Equations, Edition 2
Rating: 4 (1 reviews)

Ernst Hairer · Christian Lubich · Gerhard Wanner

2006年5月 · Springer Series in Computational Mathematics 第 31 冊 · Springer Science & Business Media

4.0

1 則評論

電子書

644

頁數

評分和評論未經驗證瞭解詳情

關於這本電子書

Numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems with highly oscillatory solutions are the subject of this book. A complete self-contained theory of symplectic and symmetric methods, which include Runge-Kutta, composition, splitting, multistep and various specially designed integrators, is presented and their construction and practical merits are discussed. The long-time behaviour of the numerical solutions is studied using a backward error analysis (modified equations) combined with KAM theory. The book is illustrated by many figures, it treats applications from physics and astronomy and contains many numerical experiments and comparisons of different approaches. The second edition is substantially revised and enlarged, with many improvements in the presentation and additions concerning in particular non-canonical Hamiltonian systems, highly oscillatory mechanical systems, and the dynamics of multistep methods.