Lecture Notes in Mathematics: Numerical Approximations and Symplectic Structures
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Lecture Notes in Mathematics: Numerical Approximations and Symplectic Structures
Hong, Jialin; Wang, Xu
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.
Details
Published by: Springer
Publication Date: 2019-08-23
Format: Paperback
ISBN-13: 9789813290686
DOI: 10.1007/978-981-32-9069-3
Dimensions: 235cm x155cm
Pages: 220