Sage for undergraduates Gregory V. Bard
Material type:
TextPublication details: Providence, R.I. : American Mathematical Society, c2015.; ©2015Description: xxiv, 352 p. : ill. ; 26 cmISBN: - 9781470411114
- Algebra -- Computer programs
- Mathematics -- Computer programs
- Linear and multilinear algebra; matrix theory -- Explicit machine computation and programs (not the theory of computation or programming)
- Ordinary differential equations -- Explicit machine computation and programs (not the theory of computation or programming)
- Numerical analysis -- Explicit machine computation and programs (not the theory of computation or programming)
- Operations research, mathematical programming -- Explicit machine computation and programs (not the theory of computation or programming)
- Field theory and polynomials -- Explicit machine computation and programs (not the theory of computation or programming)
- Measure and integration -- Explicit machine computation and programs (not the theory of computation or programming)
- Sequences, series, summability -- Explicit machine computation and programs (not the theory of computation or programming)
- Computer science -- Computing methodologies and applications -- Computer graphics; computational geometry
- 510.285/53
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 510.28553 BA SA (Browse shelf(Opens below)) | Available | T0054194 |
Includes bibliographical references (p. 351-352).
"As the open-source and free competitor to expensive software like MapleTM, Mathematica®, Magma, and MATLAB®, Sage offers anyone with access to a web browser the ability to use cutting-edge mathematical software and display his or her results for others, often with stunning graphics. This book is a gentle introduction to Sage for undergraduate students toward the end of Calculus II (single-variable integral calculus) or higher-level course work such as Multivariate Calculus, Differential Equations, Linear Algebra, or Math Modeling. The book assumes no background in computer science, but the reader who finishes the book will have learned about half of a first semester Computer Science I course, including large parts of the Python programming language. The audience of the book is not only math majors, but also physics, engineering, finance, statistics, chemistry, and computer science majors."--
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