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Algebra and Geometry with Python

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Algebra and Geometry with Python/ by Sergei Kurgalin, Sergei Borzunov.
Author:	Kurgalin, Sergei.
other author:	Borzunov, Sergei.
Description:	XVI, 425 p. 49 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer science—Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-61541-3
ISBN:	9783030615413

Algebra and Geometry with Python
Kurgalin, Sergei.

Algebra and Geometry with Python[electronic resource] /by Sergei Kurgalin, Sergei Borzunov. - 1st ed. 2021. - XVI, 425 p. 49 illus.online resource.

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

Standard No.: 10.1007/978-3-030-61541-3doiSubjects--Topical Terms:

1253519
Computer science—Mathematics.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Algebra and Geometry with Python
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520 $a 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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