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Uncertainty treatment library

Project description

OpenTURNS is a scientific C++ and Python library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is giving to specific applications all the functionalities needed to treat uncertainties in studies. Targeted users are all engineers who want to introduce the probabilistic dimension in their so far deterministic studies.

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Files for openturns, version 1.16
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Filename, size openturns-1.16-cp37-cp37m-macosx_10_9_x86_64.whl (80.2 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size openturns-1.16-cp37-cp37m-manylinux1_x86_64.whl (47.3 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size openturns-1.16-cp37-cp37m-win_amd64.whl (44.6 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size openturns-1.16-cp38-cp38-macosx_10_9_x86_64.whl (80.1 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size openturns-1.16-cp38-cp38-manylinux1_x86_64.whl (47.3 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size openturns-1.16-cp38-cp38-win_amd64.whl (44.6 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size openturns-1.16-cp39-cp39-macosx_10_9_x86_64.whl (80.1 MB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size openturns-1.16-cp39-cp39-manylinux1_x86_64.whl (47.3 MB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size openturns-1.16-cp39-cp39-win_amd64.whl (44.6 MB) File type Wheel Python version cp39 Upload date Hashes View

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