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Undergraduate Topics in Computer Science

Analysis for Computer Scientists

Foundations, Methods, and Algorithms

Autoren: Oberguggenberger, Michael, Ostermann, Alexander

Vorschau
  • Presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis  
  • Makes thorough use of examples and explanations using MATLAB, Maple, and Java applets 
  • Describes mathematical theory alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises  
Weitere Vorteile

Dieses Buch kaufen

eBook 37,44 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-91155-7
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 48,14 €
Preis für Deutschland (Brutto)
Über dieses Lehrbuch

This easy-to-follow textbook/reference presents a concise introduction to mathematical analysis from an algorithmic point of view, with a particular focus on applications of analysis and aspects of mathematical modelling. The text describes the mathematical theory alongside the basic concepts and methods of numerical analysis, enriched by computer experiments using MATLAB, Python, Maple, and Java applets. This fully updated and expanded new edition also features an even greater number of programming exercises.

Topics and features: describes the fundamental concepts in analysis, covering real and complex numbers, trigonometry, sequences and series, functions, derivatives, integrals, and curves; discusses important applications and advanced topics, such as fractals and L-systems, numerical integration, linear regression, and differential equations; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes added material on hyperbolic functions, curves and surfaces in space, second-order differential equations, and the pendulum equation (NEW); contains experiments, exercises, definitions, and propositions throughout the text; supplies programming examples in Python, in addition to MATLAB (NEW); provides supplementary resources at an associated website, including Java applets, code source files, and links to interactive online learning material.

Addressing the core needs of computer science students and researchers, this clearly written textbook is an essential resource for undergraduate-level courses on numerical analysis, and an ideal self-study tool for professionals seeking to enhance their analysis skills.

Über die Autor*innen

Dr. Michael Oberguggenberger is a professor in the Unit of Engineering Mathematics at the University of Innsbruck, Austria.

Dr. Alexander Ostermann is a professor in the Department of Mathematics at the University of Innsbruck, Austria.

Stimmen zum Buch

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Inhaltsverzeichnis (21 Kapitel)

Inhaltsverzeichnis (21 Kapitel)

Dieses Buch kaufen

eBook 37,44 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-91155-7
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 48,14 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Analysis for Computer Scientists
Buchuntertitel
Foundations, Methods, and Algorithms
Autoren
Titel der Buchreihe
Undergraduate Topics in Computer Science
Copyright
2018
Verlag
Springer International Publishing
Copyright Inhaber
Springer Nature Switzerland AG
eBook ISBN
978-3-319-91155-7
DOI
10.1007/978-3-319-91155-7
Softcover ISBN
978-3-319-91154-0
Buchreihen ISSN
1863-7310
Auflage
2
Seitenzahl
XII, 378
Anzahl der Bilder
231 schwarz-weiß Abbildungen
Themen