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Linear Algebra with Python: Theory and Applications

Linear Algebra with Python: Theory and Applications - Hardcover

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Availability:In StockContributor:Makoto Tsukada, Yuji Kobayashi, Hiroshi KanekoSeries:Springer Undergraduate Texts in Mathematics and TechnologyPublish date:2023-12-07Pages:309
Languages:EnglishPublisher:SpringerISBN-13:9789819929504ISBN-10:9819929504UPC:9789819929504Book Category:Mathematics, ComputersBook Subcategory:Algebra, Functional Analysis, LanguagesBook Topic:Linear, PythonSize:10.00 x 7.00 x 0.75 inchesWeight:1.7218Product ID:SCF9JRMYRW
Languages:EnglishPublisher:SpringerISBN-13:9789819929504ISBN-10:9819929504UPC:9789819929504Book Category:Mathematics, ComputersBook Subcategory:Algebra, Functional Analysis, LanguagesBook Topic:Linear, PythonSize:10.00 x 7.00 x 0.75 inchesWeight:1.7218Product ID:SCF9JRMYRW

Makoto Tsukada has been studied in the field of functional analysis. He has been teaching linear algebra, analysis, and probability theory for many years. Also, he has taught programming language courses using Pascal, Prolog, C, Python, etc. Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, and Masato Noguchi are specialists in algebra, analysis, statistics, and computers.


Publisher: Springer

Edition

2023 Edition

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