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978-3-319-64866-8Springer International Publishing AG 2017Fierce 发表于 2025-3-27 11:15:32
Matrix Algebra978-3-319-64867-5Series ISSN 1431-875X Series E-ISSN 2197-4136Nonthreatening 发表于 2025-3-27 14:24:24
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Textbook 20172nd editionypes of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides essential updates and comprehensive coverage on cOafishness 发表于 2025-3-28 11:41:24
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