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Invariant Measures for Stochastic Nonlinear Schroedinger Equations - Numerical Approximations and Symplectic Structures (Paperback, 1st ed. 2019) Loot Price: R1,521
Discovery Miles 15 210
Invariant Measures for Stochastic Nonlinear Schroedinger Equations - Numerical Approximations and Symplectic Structures...

Invariant Measures for Stochastic Nonlinear Schroedinger Equations - Numerical Approximations and Symplectic Structures (Paperback, 1st ed. 2019)

Jialin Hong, Xu Wang

Series: Lecture Notes in Mathematics, 2251

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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This book provides some recent advance in the study of stochastic nonlinear Schroedinger 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 Schroedinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schroedinger equations. This book will appeal to researchers who are interested in numerical analysis, stochastic analysis, ergodic theory, partial differential equation theory, etc.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes in Mathematics, 2251
Release date: August 2019
First published: 2019
Authors: Jialin Hong • Xu Wang
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 220
Edition: 1st ed. 2019
ISBN-13: 978-981-3290-68-6
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
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LSN: 981-3290-68-4
Barcode: 9789813290686

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