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[null,"1.","Record Nr.",null,"UNINA9910349341603321"]
[null,null,"Autore",null,"Hong Jialin"]
[null,null,"Titolo",null,"Invariant Measures for Stochastic Nonlinear Schrödinger Equations : Numerical Approximations and Symplectic Structures / / by Jialin Hong, Xu Wang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"981-329-069-2"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIV, 220 p. 14 illus., 13 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Mathematics, , 1617-9692 ; ; 2251"]
[null,null,"Disciplina",null,"519.22"]
[null,null,"Soggetti",null,"Probabilities"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Dynamical systems"]
[{"$nulls":4},"Differential equations"]
[{"$nulls":4},"Probability Theory"]
[{"$nulls":4},"Numerical Analysis"]
[{"$nulls":4},"Dynamical Systems"]
[{"$nulls":4},"Differential Equations"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Invariant measures and ergodicity -- Invariant measures for stochastic differential equations -- Invariant measures for stochastic nonlinear Schrödinger equations -- Geometric structures and numerical schemes for nonlinear Schrödinger equations -- Numerical invariant measures for damped stochastic nonlinear Schrödinger equations -- Approximation of ergodic limit for conservative stochastic nonlinear Schrödinger equations."]
[null,null,null,"Sommario/riassunto","This book provides some recent advance in the study of stochastic nonlinear Schrödinger equations and their numerical approximations, including the well-posedness, ergodicity, symplecticity and multi-symplecticity. It gives an accessible overview of the existence and uniqueness of invariant measures for stochastic differential equations, introduces geometric structures including symplecticity and (conformal) multi-symplecticity for nonlinear Schrödinger equations and their numerical approximations, and studies the properties and convergence errors of numerical methods for stochastic nonlinear Schrödinger equations. This book will appeal to researchers who are interested in "]
[{"$nulls":4},"numerical analysis, stochastic analysis, ergodic theory, partial differential equation theory, etc."]