mumpcepy: A Python implementation of the Method of Uncertainty Minimization using Polynomial Chaos Expansions

Name: mumpcepy: A Python implementation of the Method of Uncertainty Minimization using Polynomial Chaos Expansions
Creator: National Institute of Standards and Technology
Published: 2024-09-14T00:40:35+08:00

data.gov2024-09-14 收录

不确定性量化

物理模型标定

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https://catalog.data.gov/dataset/mumpcepy-a-python-implementation-of-the-method-of-uncertainty-minimization-using-polynomia-c2fc3 数据链接链接失效反馈

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资源简介：

The Method of Uncertainty Minimization using Polynomial Chaos Expansions (MUM-PCE) was developed as a software tool to constrain physical models against experimental...

基于多项式混沌展开的不确定性最小化方法（Method of Uncertainty Minimization using Polynomial Chaos Expansions，MUM-PCE）被开发为一款可依据实验数据约束物理模型的软件工具……

提供机构：

National Institute of Standards and Technology

mumpcepy: A Python implementation of the Method of Uncertainty Minimization using Polynomial Chaos Expansions

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