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Algebra and geometry with Python
~
Borzunov, Sergei.
Algebra and geometry with Python
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Algebra and geometry with Pythonby Sergei Kurgalin, Sergei Borzunov.
作者:
Kurgalin, Sergei.
其他作者:
Borzunov, Sergei.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xvi, 425 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Algebras, Linear.
電子資源:
https://doi.org/10.1007/978-3-030-61541-3
ISBN:
9783030615413$q(electronic bk.)
Algebra and geometry with Python
Kurgalin, Sergei.
Algebra and geometry with Python
[electronic resource] /by Sergei Kurgalin, Sergei Borzunov. - Cham :Springer International Publishing :2021. - xvi, 425 p. :ill., digital ;24 cm.
Matrices and Matrix Algorithms -- Matrix Algebra -- Systems of Linear Equations -- Complex Numbers and Matrices -- Vector Spaces -- Vectors in a Three-Dimensional Space -- Equation of a Straight Line on a Plane -- Equation of a Plane in Space -- Equation of a Line in Space -- Bilinear and Quadratic Forms -- Curves of the Second-Order -- Elliptic Curves -- Appendix A, Basic Operators in Python and C -- Appendix B, Trigonometric Formulae -- Appendix C, The Greek Alphabet -- References -- Name Index -- Subject Index.
This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves, and elliptic curves. The text is supported throughout with problems, and the authors have included source code in Python in the book. The book is suitable for graduate students and advanced undergraduate students in computer science.
ISBN: 9783030615413$q(electronic bk.)
Standard No.: 10.1007/978-3-030-61541-3doiSubjects--Topical Terms:
183087
Algebras, Linear.
LC Class. No.: QA184.2 / .K87 2021
Dewey Class. No.: 512.5
Algebra and geometry with Python
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This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves, and elliptic curves. The text is supported throughout with problems, and the authors have included source code in Python in the book. The book is suitable for graduate students and advanced undergraduate students in computer science.
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