UQPCE
所属分类：交通/航空行业
开发工具：Python
文件大小：70208KB
下载次数：0
上传日期：2022-03-14 20:46:26
上 传 者：
sh-1993
说明： ...美国国家航空航天局兰利研究中心董事会（SACD）研究不确定性对预测的潜在影响...
(Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a non-intrusive polynomial chaos expansion surrogate modeling technique to efficiently estimate uncertainties for computational analyses. The software)
文件列表:
LICENSE (13716, 2022-03-15)
docs (0, 2022-03-15)
docs\html.zip (8903601, 2022-03-15)
env (0, 2022-03-15)
env\requirements.txt (83, 2022-03-15)
src (0, 2022-03-15)
src\PCE_Codes (0, 2022-03-15)
src\PCE_Codes\__init__.py (0, 2022-03-15)
src\PCE_Codes\__main__.py (3591, 2022-03-15)
src\PCE_Codes\_helpers.py (12694, 2022-03-15)
src\PCE_Codes\custom_enums.py (675, 2022-03-15)
src\PCE_Codes\enum.py (2231, 2022-03-15)
src\PCE_Codes\error.py (440, 2022-03-15)
src\PCE_Codes\graphs.py (4482, 2022-03-15)
src\PCE_Codes\io.py (16338, 2022-03-15)
src\PCE_Codes\pbox.py (21626, 2022-03-15)
src\PCE_Codes\report.py (4920, 2022-03-15)
src\PCE_Codes\stats (0, 2022-03-15)
src\PCE_Codes\stats\statistics.py (20766, 2022-03-15)
src\PCE_Codes\uqpce.py (22522, 2022-03-15)
src\PCE_Codes\utility.py (42974, 2022-03-15)
src\PCE_Codes\variables (0, 2022-03-15)
src\PCE_Codes\variables\continuous.py (54054, 2022-03-15)
src\PCE_Codes\variables\discrete.py (37607, 2022-03-15)
src\PCE_Codes\variables\variable.py (2081, 2022-03-15)
tests (0, 2022-03-15)
tests\OneraM6.zip (1790, 2022-03-15)
tests\analytical.zip (4475, 2022-03-15)
tests\analytical_with_error.zip (6889, 2022-03-15)
tests\check_verification_cases.py (10675, 2022-03-15)
tests\diamond_airfoil.zip (6348, 2022-03-15)
tests\discrete_large_variable_count.zip (8083768, 2022-03-15)
tests\discrete_parabola.zip (1881, 2022-03-15)
tests\discrete_variable.zip (65048, 2022-03-15)
tests\general_variable_analytical.zip (7758, 2022-03-15)
tests\high_order_analytical.zip (50315, 2022-03-15)
tests\interval_variable.zip (8111, 2022-03-15)
tests\large_variable_count.zip (54214135, 2022-03-15)
... ...
This is the README file for Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE).
To set up UQPCE for use:
1) Ensure all of the requirements from the documentation are met.
- Alternatively, create a conda environment using the environment.yml file
provided in the UQPCE/env folder.
2) Add the folder UQPCE/src to the PATH and PYTHONPATH.
3) In a directory containing an input.yaml, run_matrix.dat, and results.dat, run
"python -m PCE_Codes".
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