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The gPC ROM generated using SparseGridCollocation with Gamma distribution should generate similar results with MonteCarlo
What did you see instead?
The predicted value from gPC does not agree with the Code executions, the inputs are youngsModulus, and force. The outputs are disp_x, and disp_y.
Results from Code:
We recently realized that there was a defect in the SparseGridCollocation Sampler when Gamma distribution as described in issue #693. This issue has been resolved with the PR #713 and the modification is currently available in the devel branch.
Issue Description
What did you expect to see happen?
The gPC ROM generated using SparseGridCollocation with Gamma distribution should generate similar results with MonteCarlo
What did you see instead?
The predicted value from gPC does not agree with the Code executions, the inputs are youngsModulus, and force. The outputs are disp_x, and disp_y.
Results from Code:
Results from gPC:
If I change the Gamma distribution to Normal or using NDspline ROM with Monte Carlo, both will generate similar results compared to the code outputs.
Do you have a suggested fix for the development team?
I guss the problem is scaling/normalization factors for the polynomial coefficients.
Please attach the input file(s) that generate this error. The simpler the input, the faster we can find the issue.
tests.zip
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