Ordinary Differential Equations with Applications (eBook)

Artikelnummer: 978-3-031-51652-8
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book is developed primarily from the author's 20 years of teaching the course at his own university. It addresses both theory and applications, interweaving application with theory throughout the text. The author links ordinary differential equations with advanced mathematical topics such as differential geometry, Lie group theory, analysis in infinite-dimensional spaces and even abstract algebra. The revised edition includes considerable new material; the impressive array of exercises has been more than doubled in size and enhanced in scope.

This book is developed primarily from the author's 20 years of teaching the course at his own university. It addresses both theory and applications, interweaving application with theory throughout the text. The author links ordinary differential equations with advanced mathematical topics such as differential geometry, Lie group theory, analysis in infinite-dimensional spaces and even abstract algebra. The revised edition includes considerable new material; the impressive array of exercises has been more than doubled in size and enhanced in scope.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2024
Seitenangabe729 S.
AusgabekennzeichenEnglisch
AbbildungenXXII, 729 p. 76 illus.
Masse9'523 KB
Auflage24003 A. Third Edition 2024
PlattformPDF
ReiheTexts in Applied Mathematics; Mathematics and Statistics; Mathematics and Statistics
AutorChicone, Carmen

Alle Bände der Reihe "Texts in Applied Mathematics; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Carmen Chicone

Carmen Chicone is an emeritus professor of mathematics at the University of Missouri. He has authored two books, coauthored a third, and published over 100 research articles. His recent research interests are in the qualitative theory of ordinary and partial differential equations, applications of differential equations to mathematical models in science and engineering, and the development of numerical methods to obtain viable predictions from physically realistic model problems.

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