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- Title: Computational Mathematics with SageMath
- Author(s) Paul Zimmermann, et al.
- Publisher: SIAM (December 10, 2018); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Hardcover/Paperback: 464 pages
- eBook: PDF
- Language(s): English, German, French
- ISBN-10/ASIN: 161197545X
- ISBN-13: 978-1611975451
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This fantastic and deep book about how to use SageMath for learning and doing mathematics. It is filled with many carefully thought through examples and exercises, and great care has been taken to put computational functionality into proper mathematical context.
About the Authors- N/A
- Mathematical and Computational Software
- Computational and Algorithmic Mathematics
- Elementry and High School Mathematics
- Algebra, Abstract Algebra, and Linear Algebra
- Number Theory
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SageMath for Undergraduates (Gregory V. Bard)
This book is a gentle introduction to SageMath for undergraduate students toward the end of Calculus or higher-level course work such as Multivariate Calculus, Differential Equations, Linear Algebra, or Math Modeling.
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SageMath Tutorial (William Stein)
This tutorial is the best way to become familiar with SageMath in only a few hours. It explains how to use the free and open source mathematical software package Sage. Both binaries and source code are available for SageMath from the download page.
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Number Theory: In Context and Interactive, using SageMath
This is a textbook for an upper-level number theory course, with a clear vision to expose students to the connections to all areas of mathematics, and nearly every concept can be visualized or experimented with using the mathematics software SageMath.
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Elementary Number Theory using SageMath (William Stein)
This is a book about prime numbers, congruences, secret messages, and elliptic curves that you can read cover to cover. Many numerical examples are given throughout the book using the SageMath mathematical software.
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Explorations in Algebraic Graph Theory with SageMath
This book aims to express properties of graphs in algebraic terms, then to deduce theorems about them. It tackles the applications of linear algebra and matrix theory to the study of graphs; algebraic constructions such as adjacency matrix, using the SageMath.
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Algorithmic Graph Theory using SageMath (David Joyner, et al)
This is an introductory book on algorithmic graph theory. Theory and algorithms are illustrated using the SageMath open source mathematics software. It's especially suitable for computer scientists and mathematicians interested in computational complexity.
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