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Splines and PDEs: From Approximation Theory to Numerical Linear Algebra

Cetraro, Italy 2017

Specificaties
Paperback, blz. | Engels
Springer International Publishing | 2018
ISBN13: 9783319949109
Rubricering
Springer International Publishing e druk, 2018 9783319949109
Onderdeel van serie Lecture Notes in Mathematics
€ 78,99
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Samenvatting

This book takes readers on a multi-perspective tour through state-of-the-art mathematical developments related to the numerical treatment of PDEs based on splines, and in particular isogeometric methods. 
A wide variety of research topics are covered, ranging from approximation theory to structured numerical linear algebra. More precisely, the book provides (i) a self-contained introduction to B-splines, with special focus on approximation and hierarchical refinement, (ii) a broad survey of numerical schemes for control problems based on B-splines and B-spline-type wavelets, (iii) an exhaustive description of methods for computing and analyzing the spectral distribution of discretization matrices, and (iv) a detailed overview of the mathematical and implementational aspects of isogeometric analysis. 
The text is the outcome of a C.I.M.E. summer school held in Cetraro (Italy), July 2017, featuring four prominent lecturers with different theoretical and application perspectives. The book may serve both as a reference and an entry point into further research.

Specificaties

ISBN13:9783319949109
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

Inhoudsopgave

<p>Foundations of Spline Theory: B-Splines, Spline Approximation, and&nbsp;Hierarchical Refinement.- Adaptive Multiscale Methods for the Numerical Treatment of Systems&nbsp;of PDEs.- Generalized Locally Toeplitz Sequences: A Spectral Analysis Tool for&nbsp;Discretized Differential Equations.- Isogeometric Analysis: Mathematical and Implementational Aspects,&nbsp;with Applications.</p>
€ 78,99
Levertijd ongeveer 9 werkdagen
Gratis verzonden

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        Splines and PDEs: From Approximation Theory to Numerical Linear Algebra