Analysis for Computer Scientists: Foundations, Methods, and Algorithms (2 ed.)

Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/33719

Full metadata record

DC Field	Value	Language
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
Appears in Collections:	Sociology

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