'Symplectic Geometric Algorithms for Hamiltonian Systems' will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes and develops the generating function and Hamilton-Jacobi equation theory from t
Symplectic Geometric Algorithms for Hamiltonian Systems
β Scribed by Kang Feng, Mengzhao Qin
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Leaves
- 701
- Edition
- 1st Edition.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Symplectic Geometric Algorithms for Hamiltonian Systems will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes and develops the generating function and Hamilton-Jacobi equation theory from the perspective of the symplectic geometry and symplectic algebra. It will be a useful resource for engineers and scientists in the fields of quantum theory, astrophysics, atomic and molecular dynamics, climate prediction, oil exploration, etc. Therefore a systematic research and development of numerical methodology for Hamiltonian systems is well motivated. Were it successful, it would imply wide-ranging applications.
π SIMILAR VOLUMES
Among all the Hamiltonian systems, the alics integrable ones - those which have many conserved quantities - have special geometric properties; in particular, their solutions are very regular and quasi-periodic. The quasi-periodicity of the solutions of an integrable system is a result of the fact th
This book provides an accessible overview concerning the stochastic numerical methods inheriting long-time dynamical behaviours of finite and infinite-dimensional stochastic Hamiltonian systems. The long-time dynamical behaviours under study involve symplectic structure, invariants, ergodicity and i