| 書目名稱 | Invariant Measures for Stochastic Nonlinear Schr?dinger Equations | | 副標題 | Numerical Approximat | | 編輯 | Jialin Hong,Xu Wang | | 視頻video | http://file.papertrans.cn/475/474574/474574.mp4 | | 概述 | Gives a detailed introduction to ergodicity and symplectic and multi-symplectic structures for stochastic nonlinear Schr?dinger equations.Provides the study of ergodic numerical approximations for sto | | 叢書名稱 | Lecture Notes in Mathematics | | 圖書封面 |  | | 描述 | This book provides some recent advance in the study of stochastic nonlinear Schr?dinger 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 Schr?dinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schr?dinger 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 | | 關(guān)鍵詞 | Invariant measures; ergodic theory; stochastic nonlinear Schr?dinger 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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