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Convex optimization package

Project description

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. 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.

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cvxopt-1.2.2.tar.gz (1.9 MB view hashes)

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cvxopt-1.2.2-cp37-cp37m-win_amd64.whl (815.7 kB view hashes)

Uploaded CPython 3.7m Windows x86-64

cvxopt-1.2.2-cp37-cp37m-manylinux1_x86_64.whl (11.6 MB view hashes)

Uploaded CPython 3.7m

cvxopt-1.2.2-cp37-cp37m-manylinux1_i686.whl (8.0 MB view hashes)

Uploaded CPython 3.7m

cvxopt-1.2.2-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (5.7 MB view hashes)

Uploaded CPython 3.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

cvxopt-1.2.2-cp36-cp36m-win_amd64.whl (815.7 kB view hashes)

Uploaded CPython 3.6m Windows x86-64

cvxopt-1.2.2-cp36-cp36m-manylinux1_x86_64.whl (11.6 MB view hashes)

Uploaded CPython 3.6m

cvxopt-1.2.2-cp36-cp36m-manylinux1_i686.whl (8.0 MB view hashes)

Uploaded CPython 3.6m

cvxopt-1.2.2-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (5.7 MB view hashes)

Uploaded CPython 3.6m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

cvxopt-1.2.2-cp35-cp35m-win_amd64.whl (785.6 kB view hashes)

Uploaded CPython 3.5m Windows x86-64

cvxopt-1.2.2-cp35-cp35m-manylinux1_x86_64.whl (11.6 MB view hashes)

Uploaded CPython 3.5m

cvxopt-1.2.2-cp35-cp35m-manylinux1_i686.whl (8.0 MB view hashes)

Uploaded CPython 3.5m

cvxopt-1.2.2-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (5.7 MB view hashes)

Uploaded CPython 3.5m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

cvxopt-1.2.2-cp34-cp34m-win_amd64.whl (661.3 kB view hashes)

Uploaded CPython 3.4m Windows x86-64

cvxopt-1.2.2-cp27-cp27mu-manylinux1_x86_64.whl (11.6 MB view hashes)

Uploaded CPython 2.7mu

cvxopt-1.2.2-cp27-cp27mu-manylinux1_i686.whl (8.0 MB view hashes)

Uploaded CPython 2.7mu

cvxopt-1.2.2-cp27-cp27m-win_amd64.whl (672.4 kB view hashes)

Uploaded CPython 2.7m Windows x86-64

cvxopt-1.2.2-cp27-cp27m-manylinux1_x86_64.whl (11.6 MB view hashes)

Uploaded CPython 2.7m

cvxopt-1.2.2-cp27-cp27m-manylinux1_i686.whl (8.0 MB view hashes)

Uploaded CPython 2.7m

cvxopt-1.2.2-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (5.7 MB view hashes)

Uploaded CPython 2.7m macOS 10.10+ intel macOS 10.10+ x86-64 macOS 10.6+ intel macOS 10.9+ intel macOS 10.9+ x86-64

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