Can I read Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) on EtoBox?

Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) by Oberguggenberger, Michael; Ostermann, Alexander is a nonfiction available to read on EtoBox.

What is Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science) about?

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

Who reads Analysis for Computer Scientists: Foundations, Methods, and Algorithms (Undergraduate Topics in Computer Science)?

Author

Oberguggenberger, Michael; Ostermann, Alexander

Publisher

Springer International Publishing

Published

2018

Language

EN

ISBN

9783319911564

Category

nonfiction

Subjects

Science, Engineering, Mathematics