SageMath

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SageMath
SageMath logo
Initial release 24 February 2005; 19 years ago (2005-02-24)
Stable release 6.10 / 18 December 2015; 8 years ago (2015-12-18)
Preview release 7.0-beta1 / 25 December 2015; 8 years ago (2015-12-25)
Written in Python, Cython
Operating system Cross-platform
Platform Python
Size 411 MB download (Ubuntu 64-bit)[1]
Type Computer algebra system
License GNU General Public License
Website www.sagemath.org, cloud.sagemath.com

SageMath (previously Sage or SAGE, System for Algebra and Geometry Experimentation[2]) is mathematical software with features covering many aspects of mathematics, including algebra, combinatorics, numerical mathematics, number theory, and calculus.

The first version of SageMath was released on 24 February 2005 as free and open source software under the terms of the GNU General Public License, with the initial goals of creating an "open source alternative to Magma, Maple, Mathematica, and MATLAB".[3] The originator and leader of the SageMath project, William Stein, is a mathematician at the University of Washington.

SageMath "uses a Python-like syntax,"[4] supporting procedural, functional and object-oriented constructs.

Features

The Sage notebook document interface in a web browser.
Equation solving and typesetting using the SageMath notebook web interface

Features of SageMath include:[5]

Development

William A. Stein

William Stein realized when designing Sage that there were many open-source mathematics software packages already written in different languages, namely C, C++, Common Lisp, Fortran and Python.

Rather than reinventing the wheel, Sage (which is written mostly in Python and Cython) integrates many specialized mathematics software packages into a common interface, for which a user needs to know only Python. However, Sage contains hundreds of thousands of unique lines of code adding new functions and creating the interface between its components.[10]

SageMath uses both students and professionals for development. The development of SageMath is supported by both volunteer work and grants.[11]

Release history

Only the major releases are listed below. SageMath practices the "release early, release often" concept, with releases every few weeks or months. In total, there have been over 300 releases, although their frequency has decreased.[12]

SageMath versions
Version Release Date Description
0.1 January 2005 Included PARI, but not GAP or Singular
0.2–0.4 March to July 2005 Cremona's database, multivariate polynomials, large finite fields and more documentation
0.5–0.7 August to September 2005 Vector spaces, rings, modular symbols, and windows usage
0.8 October 2005 Full distribution of GAP, Singular
0.9 November 2005 Maxima and clisp added
1.0 February 2006
2.0 January 2007
3.0 April 2008 Interacts, R interface
4.0 May 2009 Solaris 10 support, 64bit OSX support
5.0 May 2012[13] OSX Lion support
6.0 December 2013 SageMath Development moved to Git[14]
7.0 2016 (planned)

Achievements

Performance

Both binaries and source code are available for SageMath from the download page. If SageMath is built from source code, many of the included libraries such as ATLAS, FLINT, and NTL will be tuned and optimized for that computer, taking into account the number of processors, the size of their caches, whether there is hardware support for SSE instructions, etc.

Cython can increase the speed of SageMath programs, as the Python code is converted into C.[20]

Licensing and availability

SageMath is free software, distributed under the terms of the GNU General Public License version 2+. SageMath is available in many ways:

  • The source code can be downloaded from the downloads page. Although not recommended for end users, development releases of SageMath are also available.
  • Binaries can be downloaded for Linux, OS X and Solaris (both x86 and SPARC).
  • A live CD containing a bootable Linux operating system is also available. This allows usage of Sage without Linux installation.
  • Users could use an online version of SageMath at sagenb.org, but it has been discontinued in April 2015.
  • Users can use an online "single cell" version of SageMath at sagecell.sagemath.org or embed a single sage cell into any web page. Users can also create permalinks to SageMath computations using the cell server.[21]
  • A new online SageMath notebook is available at cloud.sagemath.com.

Although Microsoft was sponsoring a native version of Sage for the Windows operating system,[22] as of 2012 there were no plans for a native port, and users of Windows currently have to use virtualization technology such as VirtualBox to run Sage.[23] As of Sage 5.9, it mostly successfully builds on Cygwin.[24]

Linux distributions in which SageMath is available as a package are Mandriva, Fedora, and Arch Linux. It is also available as a dedicated Ubuntu PPA.[25] In Gentoo, it's available via layman in the "sage-on-gentoo"[26] overlay. However, SageMath can be installed to any Linux distribution.

Gentoo prefix also provides Sage on other operating systems.

Software packages contained in SageMath

The philosophy of SageMath is to use existing open-source libraries wherever they exist. Therefore, it uses many libraries from other projects.

Mathematics packages contained in SageMath[27]
Algebra GAP, Maxima, Singular
Algebraic geometry Singular
Arbitrary precision arithmetic MPIR, MPFR, MPFI, NTL, mpmath
Arithmetic geometry PARI/GP, NTL, mwrank, ecm
Calculus Maxima, SymPy, GiNaC
Combinatorics Symmetrica, Sage-Combinat
Linear algebra ATLAS, BLAS, LAPACK, NumPy, LinBox, IML, GSL
Graph theory NetworkX
Group theory GAP
Numerical computation GSL, SciPy, NumPy, ATLAS
Number theory PARI/GP, FLINT, NTL
Statistical computing R, SciPy
Other packages contained in SageMath
Command-line shell IPython
Database ZODB, SQLite
Graphical interface SageMath Notebook, jsMath
Graphics matplotlib, Tachyon3d, GD, Jmol
Interactive programming language Python
Networking Twisted
Other Mathematics package available for SageMath
Differential Geometry and Tensor Calculus Sage Manifolds[28]

Usage examples

Algebra and calculus

x, a, b, c = var('x, a, b, c')
# Note that IPython also supports a faster way to do this, by calling 
# this equivalent expression starting with a comma:
# ,var x a b c

log(sqrt(a)).simplify_log() # returns 1/2*log(a)
log(a / b).expand_log() # returns log(a) - log(b)
sin(a + b).simplify_trig() # returns sin(a)*cos(b) + sin(b)*cos(a)
cos(a + b).simplify_trig() # returns -sin(a)*sin(b) + cos(a)*cos(b)
(a + b)^5 # returns (a + b)^5
expand((a + b) ^ 5) # a^5 + 5*a^4*b + 10*a^3*b^2 + 10*a^2*b^3 + 5*a*b^4 + b^5

limit((x ^ 2 + 1) / (2 + x + 3 * x ^ 2), x=Infinity) # returns 1/3
limit(sin(x) / x, x=0) # returns 1

diff(acos(x), x) # returns -1/sqrt(-x^2 + 1)
f = exp(x) * log(x)
f.diff(x, 3) # returns e^x*log(x) + 3*e^x/x - 3*e^x/x^2 + 2*e^x/x^3

solve(a * x ^ 2 + b * x + c, x) # returns [x == -1/2*(b + sqrt(-4*a*c + b^2))/a, 
                                # x == -1/2*(b - sqrt(-4*a*c + b^2))/a]

f = x ^ 2 + 432 / x
solve(f.diff(x) == 0, x) # returns [x == 3*I*sqrt(3) - 3, 
                         # x == -3*I*sqrt(3) - 3, x == 6]

Differential equations

t = var('t') # define a variable t
x = function('x', t) # define x to be a function of that variable
de = (diff(x, t) + x == 1)
desolve(de, [x, t]) # returns (c + e^t)*e^(-t)

Linear algebra

A = matrix([[1, 2, 3], [3, 2, 1], [1, 1, 1]])
y = vector([0, -4, -1])
A.solve_right(y) # returns (-2, 1, 0)
A.eigenvalues() # returns [5, 0, -1]

B = matrix([[1, 2, 3], [3, 2, 1], [1, 2, 1]])
B.inverse() # returns
   [   0  1/2 -1/2]
   [-1/4 -1/4    1]
   [ 1/2    0 -1/2]

# same matrix, but over the ring of doubles (not rationals, as above)
sage: B = matrix(RDF, [[1, 2, 3], [3, 2, 1], [1, 2, 1]])
sage: B.inverse()

[-5.55111512313e-17                0.5               -0.5]
[             -0.25              -0.25                1.0]
[               0.5                0.0               -0.5]

# Call NumPy for the Moore-Penrose pseudo-inverse, 
# since SageMath does not support that yet.

import numpy
C = matrix([[1 , 1], [2 , 2]])
matrix(numpy.linalg.pinv(C)) # returns
   [0.1 0.2]
   [0.1 0.2]

Number theory

prime_pi(1000000) # returns 78498, the number of primes less than one million

E = EllipticCurve('389a') # construct an elliptic curve from its Cremona label
P, Q = E.gens()
7 * P + Q # returns (24187731458439253/244328192262001 : 
          # 3778434777075334029261244/3819094217575529893001 : 1)

sage: E2 = EllipticCurve(CC, [0,0,-2,1,1])
sage: E2
Elliptic Curve defined by y^2 + (-2.00000000000000)*y = 
         x^3 + 1.00000000000000*x + 1.00000000000000 over 
         Complex Field with 53 bits of precision
sage: E2.j_invariant()
61.7142857142857

Related projects

See also

References

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  27. Lua error in package.lua at line 80: module 'strict' not found.
  28. http://sagemanifolds.obspm.fr/

External links