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Numerical Analysis: A Graduate Course

BuchKartoniert, Paperback
632 Seiten
Englisch
Springererschienen am02.12.20231st ed. 2022
This book aims to introduce graduate students to the many applications of numerical computation, explaining in detail both how and why the included methods work in practice.mehr
Verfügbare Formate
BuchGebunden
EUR80,24
BuchKartoniert, Paperback
EUR58,84

Produkt

KlappentextThis book aims to introduce graduate students to the many applications of numerical computation, explaining in detail both how and why the included methods work in practice.
Details
ISBN/GTIN978-3-031-08123-1
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum02.12.2023
Auflage1st ed. 2022
ReiheCMS/CAIMS Books in Mathematics
Seiten632 Seiten
SpracheEnglisch
IllustrationenXV, 632 p. 114 illus., 66 illus. in color.
Artikel-Nr.55665008

Inhalt/Kritik

Inhaltsverzeichnis
Basics of mathematical computation.- Computing with Matrices and Vectors.- Solving nonlinear equations.- Approximations and interpolation.- Integration and differentiation.- Differential equations.- Randomness.- Optimization.- Appendix A: What you need from analysis.mehr
Kritik
"This is an attractive and challenging introduction to the theory and practice of numerical analysis intended primarily as a text for a graduate course. Well-prepared advanced undergraduates might also find it a valuable resource. ... Exercises throughout the book are numerous, well tied in to the text, and sometimes very challenging. The author seems to have given considerable thought to their creation and selection. Virtually all the algorithms included in the book come with pseudo-code ... ." (Bill Satzer, MAA Reviews, May 16, 2023)mehr

Autor

David Stewart is a Professor of Mathematics at the University of Iowa specializing in the area of numerical analysis. Much of his research work can be found in Dynamics with Inequalities: impacts and hard constraints (SIAM), which is on differential equations with discontinuities. His interests also include numerical optimization, mathematical modeling, and other aspects of differential equations.