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عنوان
Strong and Weak Approximation of Semilinear Stochastic Evolution Equation

پدید آورنده
/ by Raphael Kruse

موضوع
Mathematics,Differential equations, partial,Numerical analysis,Distribution (Probability theory),Electronic books

رده
E-BOOK

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9783319022314

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
EN-52366

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Strong and Weak Approximation of Semilinear Stochastic Evolution Equation
General Material Designation
[Book]
First Statement of Responsibility
/ by Raphael Kruse

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham
Name of Publisher, Distributor, etc.
: Springer International Publishing :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2014.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
XIV, 177 p. 4 illus., online resource.

SERIES

Series Title
(Lecture Notes in Mathematics,0075-8434
Volume Designation
; 2093)

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Electronic

CONTENTS NOTE

Text of Note
In this book we analyze the error caused by numerical schemes for the approximation of semilinear stochastic evolution equations (SEEq) in a Hilbert space-valued setting. The numerical schemes considered combine Galerkin finite element methods with Euler-type temporal approximations. Starting from a precise analysis of the spatio-temporal regularity of the mild solution to the SEEq, we derive and prove optimal error estimates of the strong error of convergence in the first part of the book. The second part deals with a new approach to the so-called weak error of convergence, which measures the distance between the law of the numerical solution and the law of the exact solution. This approach is based on Bismut's integration by parts formula and the Malliavin calculus for infinite dimensional stochastic processes. These techniques are developed and explained in a separate chapter, before the weak convergence is proven for linear SEEq.
Text of Note
Introduction -- Stochastic Evolution Equations in Hilbert Spaces -- Optimal Strong Error Estimates for Galerkin Finite Element Methods -- A Short Review of the Malliavin Calculus in Hilbert Spaces -- A Malliavin Calculus Approach to Weak Convergence -- Numerical Experiments -- Some Useful Variations of Gronwall's Lemma -- Results on Semigroups and their Infinitesimal Generators -- A Generalized Version of Lebesgue's Theorem -- References -- Index.?╗╣

SERIES

Title
Lecture Notes in Mathematics,0075-8434
Volume Number
2093

TOPICAL NAME USED AS SUBJECT

Mathematics
Differential equations, partial
Numerical analysis
Distribution (Probability theory)
Electronic books

LIBRARY OF CONGRESS CLASSIFICATION

Class number
E-BOOK

PERSONAL NAME - PRIMARY RESPONSIBILITY

Kruse, Raphael.

PERSONAL NAME - SECONDARY RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Country
ایران

ELECTRONIC LOCATION AND ACCESS

Host name
9783319022307.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9783319022307.pdf
Electronic Format Type
متن

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