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Symplectic Integration of Stochastic Hamiltonian Systems by Jialin Hong; Liying Sun is a nonfiction available to read on EtoBox.
What is Symplectic Integration of Stochastic Hamiltonian Systems about?
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 invariant measure. The emphasis is placed on the systematic construction and the probabilistic superiority of stochastic symplectic methods, which preserve the geometric structure of the stochastic flow of stochastic Hamiltonian systems. The problems considered in this book are related to several fascinating research hotspots: numerical analysis, stochastic analysis, ergodic theory, stochastic ordinary and partial differential equations, and rough path theory. This book will appeal to researchers who are interested in these topics.
Who reads Symplectic Integration of Stochastic Hamiltonian Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jialin Hong; Liying Sun
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789811976698
- Category
- nonfiction
- Subjects
- Mathematics, Science, Stem
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