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Summary note
SageMath, or Sage for short, is an open-source mathematical software system based on the Python language and developed by an international community comprising hundreds of teachers and researchers, whose aim is to provide an alternative to the commercial products Magma, Maple, Mathematica, and MATLABÂ®. To achieve this, Sage relies on many open-source programs, including GAP, Maxima, PARI, and various scientific libraries for Python, to which thousands of new functions have been added. Sage is freely available and is supported by all modern operating systems. Sage provides a wonderful scientific and graphical calculator for high school students, and it efficiently supports undergraduates in their computations in analysis, linear algebra, calculus, etc. For graduate students, researchers, and engineers in various mathematical specialties, Sage provides the most recent algorithms and tools, which is why several universities around the world already use Sage at the undergraduate level. Computational Mathematics with SageMath, written by researchers and by teachers at the high school, undergraduate, and graduate levels, focuses on the underlying mathematics necessary to use Sage efficiently and is illustrated with concrete examples. Part I is accessible to high school and undergraduate students and Parts II, III, and IV are suitable for graduate students, teachers, and researchers.
Bibliographic references
Includes bibliographical references and index.
System details
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Source of description
Description based on title page of print version.
Contents
part I. Getting to grips with Sage
First steps
Analysis and algebra
Programming and data structures
Graphics
Computational domains
part II. Algebra and symbolic computation
Finite fields and number theory
Polynomials
Linear algebra
Polynomial systems
Differential equations and recurrences
part III. Numerical computation
Floating-point numbers
Non-linear equations
Numerical linear algebra
Numerical integration
part IV. Combinatorics. Enumeration and combinatorics
Graph theory
Linear programming.
Other format(s)
Also available in print version.
ISBN
1-61197-546-8
Publisher no.
OT160
LCCN
2018045648
OCLC
1054260252
Doi
10.1137/1.9781611975468
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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