Linear algebra with Python : theory and applications / Makoto Tsukanada, Yuji Kobayashi, Hiroshi Kaneko, Sin-Ei Takahasi, Kiyoshi Shirayanagi, Masato Noguchi.
by Tsukada, Makoto, author.
Additional authors:
Kobayashi, Yuji, author.
Series:
Springer undergraduate texts in mathematics and technology
Edition statement:First edition.
Published by :
Springer Nature Singapore Pte Ltd.,
(Singapore :)
Physical details: 1 online resource (various pages) : Illustrations.
ISBN: 9789819929504.
Subject(s):
Algebras, Linear
Year: 2023
Online resources:
| Item type | Location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Electronic Books
|
E-Resource Section | E-Books | 512.5 Qa184 2023 (Browse shelf) | Available |
Includes bibliographical references and index.
This textbook introduces the fundamental theory of linear algebra together with practical applications using Python programming language. It covers vectors, matrices, linear mappings, eigenvalues, and computational techniques, emphasizing real-world applications in science and engineering.
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