| 书目名称 | Invariant Measures for Stochastic Nonlinear Schrödinger Equations | | 副标题 | Numerical Approximat | | 编辑 | Jialin Hong,Xu Wang | | 视频video | | | 概述 | Gives a detailed introduction to ergodicity and symplectic and multi-symplectic structures for stochastic nonlinear Schrödinger equations.Provides the study of ergodic numerical approximations for sto | | 丛书名称 | Lecture Notes in Mathematics | | 图书封面 |  | | 描述 | This book provides some recent advance in the study of stochastic nonlinear Schrödinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity. It gives an accessible overview of the existence and uniqueness of invariant measures for stochastic differential equations, introduces geometric structures including symplecticity and (conformal) multi-symplecticity for nonlinear Schrödinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schrödinger equations..This book will appeal to researchers who are interested in numerical analysis, stochastic analysis, ergodic theory, partial differential equation theory, etc.. | | 出版日期 | Book 2019 | | 关键词 | Invariant measures; ergodic theory; stochastic nonlinear Schrödinger equations; symplectic and multi-sy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-32-9069-3 | | isbn_softcover | 978-981-32-9068-6 | | isbn_ebook | 978-981-32-9069-3Series ISSN 0075-8434 Series E-ISSN 1617-9692 | | issn_series | 0075-8434 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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发表于 2025-3-21 17:22:33
