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CVXOPT is a free software package for convex optimization based on the Python programming language. It provides * 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, LDL and QR), eigenvalue and singular value decomposition; * an interface to the fast Fourier transform routines from FFTW * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD * routines for solving convex optimization problems, interfaces to the linear programming solver in GLPK and the semidefinite programming solver in DSDP5 * a modeling tool for specifying convex piecewise-linear optimization problems (which has been superseded by the more powerful CVXMOD package).
| Package | Summary | Distribution | Download |
| python-cvxopt-1.3.2-1.aarch64.html | Free convex optimization package for Python | OpenMandriva Cooker for aarch64 | python-cvxopt-1.3.2-1.aarch64.rpm |
| python-cvxopt-1.3.2-1.x86_64.html | Free convex optimization package for Python | OpenMandriva Cooker for x86_64 | python-cvxopt-1.3.2-1.x86_64.rpm |
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