Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/33719
Title: | Analysis for Computer Scientists: Foundations, Methods, and Algorithms (2 ed.) |
Authors: | Oberguggenberger, Michael Ostermann, Alexander |
Keywords: | Algorithms Mathematics Computer Science |
Issue Date: | 2018 |
Publisher: | Springer |
Abstract: | 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. |
URI: | https://lib.hpu.edu.vn/handle/123456789/33719 |
ISBN: | 978-3-319-91154-0 978-3-319-91155-7 |
Appears in Collections: | Sociology |
Files in This Item:
File | Description | Size | Format | |
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Analysis-For-Computer-Scientists-2ed.pdf Restricted Access | 4.5 MB | Adobe PDF | ![]() View/Open Request a copy |
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