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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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openturns-1.12-cp27-cp27mu-manylinux1_x86_64.whl (28.7 MB) Copy SHA256 hash SHA256 Wheel cp27
openturns-1.12-cp27-cp27m-win_amd64.whl (22.8 MB) Copy SHA256 hash SHA256 Wheel cp27
openturns-1.12-cp34-cp34m-manylinux1_x86_64.whl (28.6 MB) Copy SHA256 hash SHA256 Wheel cp34
openturns-1.12-cp35-cp35m-manylinux1_x86_64.whl (28.6 MB) Copy SHA256 hash SHA256 Wheel cp35
openturns-1.12-cp36-cp36m-manylinux1_x86_64.whl (28.6 MB) Copy SHA256 hash SHA256 Wheel cp36
openturns-1.12-cp36-cp36m-win_amd64.whl (22.8 MB) Copy SHA256 hash SHA256 Wheel cp36
openturns-1.12-cp37-cp37m-manylinux1_x86_64.whl (28.6 MB) Copy SHA256 hash SHA256 Wheel cp37
openturns-1.12-cp37-cp37m-win_amd64.whl (22.8 MB) Copy SHA256 hash SHA256 Wheel cp37

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