[ 原始碼： cvxopt ]
套件：python3-cvxopt（1.3.0+dfsg-1 以及其他的）
Python3 package for convex optimization
CVXOPT is a Python package for convex optimization. It includes
* Python classes for storing and manipulating dense and sparse matrices * an interface to most of the double-precision real and complex BLAS * an interface to the dense linear equation solvers and eigenvalue routines from LAPACK * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD. * routines for solving convex optimization problems, an interface to the linear programming solver in GLPK, and interfaces to the linear and quadratic programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems.
This package contains the Python 3 module.
其他與 python3-cvxopt 有關的套件
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- dep: libamd3 (>= 1:7.0.1)
- approximate minimum degree ordering library for sparse matrices
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- 或者 libblas.so.3
- 本虛擬套件由這些套件填實： libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.34)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libcholmod5 (>= 1:7.3.1)
- sparse Cholesky factorization library for sparse matrices
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- dep: libdsdp-5.8t64
- Software for Semidefinite Programming
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- dep: libfftw3-double3 (>= 3.3.10)
- Library for computing Fast Fourier Transforms - Double precision
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- dep: libglpk40 (>= 4.59)
- linear programming kit with integer (MIP) support
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- dep: libgsl28 (>= 2.8+dfsg)
- GNU Scientific Library (GSL) -- library package
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- 或者 liblapack.so.3
- 本虛擬套件由這些套件填實： liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libumfpack6 (>= 1:7.0.1)
- sparse LU factorization library
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
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- sug: python-cvxopt-doc
- Python package for convex optimization (documentation)