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Abstract function optimisation.

Project Description

Abstract function optimisation.

Install

The recommended way of installing it is via conda

conda install -c conda-forge optimix

An alternative way would be via pip

pip install optimix

Running the tests

After installation, you can test it

python -c "import optimix; optimix.test()"

as long as you have pytest.

Authors

License

This project is licensed under the MIT License - see the LICENSE file for details

Release History

Release History

This version
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1.2.12

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1.2.11

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1.2.10

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1.2.9

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1.2.8

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1.2.7

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1.2.6

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1.2.5

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1.2.3

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1.2.2

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1.2.1

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1.2.0

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1.1.10

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1.1.9

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1.1.8

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1.1.7

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1.1.6

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1.1.5

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1.1.4

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1.1.3

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1.1.1

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1.1.0

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1.0.13

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1.0.12

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1.0.11

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1.0.10

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1.0.9

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1.0.8

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1.0.7

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1.0.6

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1.0.5

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1.0.4

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1.0.3

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1.0.2

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1.0.1

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1.0.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
optimix-1.2.12-py2-none-any.whl (17.6 kB) Copy SHA256 Checksum SHA256 py2 Wheel Jun 1, 2017
optimix-1.2.12-py3-none-any.whl (17.6 kB) Copy SHA256 Checksum SHA256 py3 Wheel Jun 1, 2017
optimix-1.2.12.tar.gz (11.8 kB) Copy SHA256 Checksum SHA256 Source Jun 1, 2017

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