Fedora 17 Update: python-cvxopt-1.1.5-2.fc17

updates at fedoraproject.org updates at fedoraproject.org
Thu Apr 12 02:48:05 UTC 2012

Fedora Update Notification
2012-04-05 18:20:35

Name        : python-cvxopt
Product     : Fedora 17
Version     : 1.1.5
Release     : 2.fc17
URL         : http://abel.ee.ucla.edu/cvxopt/
Summary     : A Python Package for Convex Optimization
Description :
CVXOPT is a free software package for convex optimization based on
the Python programming language. Its main purpose is to make the
development of software for convex optimization applications
straightforward by building on Python's extensive standard library and
on the strengths of Python as a high-level programming language.

Update Information:

A python3 package is now available.  In addition, version 1.1.5 includes:
- efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic
- an interface to most of the double-precision real and complex BLAS
- an interface to LAPACK routines for solving linear equations and least-squares problems, matrix factorizations (LU, Cholesky, LDLT and QR), symmetric eigenvalue and singular value decomposition, and Schur factorization
- an interface to the fast Fourier transform routines from FFTW
- interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD
- routines for linear, second-order cone, and semidefinite programming problems
- routines for nonlinear convex optimization
- interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK
- a modeling tool for specifying convex piecewise-linear optimization problems.


This update can be installed with the "yum" update program.  Use 
su -c 'yum update python-cvxopt' at the command line.
For more information, refer to "Managing Software with yum",
available at http://docs.fedoraproject.org/yum/.

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