Invariant Measures for Stochastic Nonlinear Schrödinger Equations / Lecture Notes in Mathematics Bd.2251 (PDF)
Numerical Approximations and Symplectic Structures
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Jialin Hong, Xu Wang
Prof. Jialin Hong, professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China/School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, ChinaDr. Xu Wang, Golomb visiting assistant professor, Department of Mathematics, Purdue University, West Lafayette, 47906 IN, USA.
Bibliographische Angaben
- Autoren: Jialin Hong , Xu Wang
- 2019, 1st ed. 2019, 220 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9813290692
- ISBN-13: 9789813290693
- Erscheinungsdatum: 22.08.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 3.86 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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