| dc.contributor.author | Oberguggenberger, Michael | en_US |
| dc.contributor.author | Ostermann, Alexander | en_US |
| dc.date.accessioned | 2020-08-05T07:24:26Z | |
| dc.date.available | 2020-08-05T07:24:26Z | |
| dc.date.issued | 2018 | en_US |
| dc.identifier.isbn | 978-3-319-91154-0 | en_US |
| dc.identifier.isbn | 978-3-319-91155-7 | en_US |
| dc.identifier.other | HPU2164671 | en_US |
| dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/33719 | |
| dc.description.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. | en_US |
| dc.format.extent | 372p. | en_US |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Mathematics | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | Analysis for Computer Scientists: Foundations, Methods, and Algorithms (2 ed.) | en_US |
| dc.type | Book | en_US |
| dc.size | 4,39 MB | en_US |
| dc.department | Sociology | en_US |
