Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) - Softcover

Oberguggenberger, Michael; Ostermann, Alexander

Softcover

ISBN 10: 3319911546 ISBN 13: 9783319911540

Publisher: Springer, 2018

Synopsis

This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. It makes thorough use of examples and explanations using MATLAB, Maple and Java applets.

About this title

From the Back Cover

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.

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.

About the Author

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.

Edition details

• Publisher: Springer
• Publication date: 2018
• ISBN 10: 3319911546
• ISBN 13: 9783319911540
• Binding: Paperback
• Language: English
• Edition number: 2
• Number of pages: 390