Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

use piecewiseMultiConst function to invert for force parameters #22221

Open
lynnmunday opened this issue Sep 9, 2022 · 1 comment · May be fixed by idaholab/isopod#57
Open

use piecewiseMultiConst function to invert for force parameters #22221

lynnmunday opened this issue Sep 9, 2022 · 1 comment · May be fixed by idaholab/isopod#57
Labels
C: Modules/Optimization Tickets pertaining to the optimization module

Comments

@lynnmunday
Copy link
Contributor

This would use the optimizationFunction base class that Zach put in. This requires a ParameterGradient method to be implemented on the piecewiseMultiInterpolationFromReporter
lynnmunday referenced this issue in lynnmunday/isopod Sep 9, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
de810f5 
…tions with parameterGradient method closes #56
@lynnmunday lynnmunday linked a pull request Sep 9, 2022 that will close this issue
Open
lynnmunday referenced this issue in lynnmunday/isopod Sep 10, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
7c71fe4 
…tions with parameterGradient method closes #56
lynnmunday referenced this issue in lynnmunday/isopod Sep 10, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
6efa1d2 
…tions with parameterGradient method closes #56
lynnmunday referenced this issue in lynnmunday/isopod Sep 13, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
322072f 
…tions with parameterGradient method closes #56
lynnmunday referenced this issue in lynnmunday/isopod Sep 14, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
219c98e 
…tions with parameterGradient method. Gridded data requires 9 parameters to be defined instead of 4 even though only four cells of data are being optimized. So the problems areally only dependent on 4 parameters, not 9.. closes #56
lynnmunday referenced this issue in lynnmunday/isopod Sep 14, 2022
@lynnmunday
force parameter inversion using piecewiseMultilinearFromReporter func…
d7d2d9e 
…tions with parameterGradient method. Gridded data requires 9 parameters to be defined instead of 4 even though only four cells of data are being optimized. So the problems areally only dependent on 4 parameters, not 9.. closes #56
lynnmunday referenced this issue in lynnmunday/isopod Sep 16, 2022
@lynnmunday
force parameter inversion using piecewiseMultiConstantFromReporter fu…
ba007ae 
…nctions with parameterGradient method. Gridded data requires 9 parameters to be defined instead of 4 even though only four cells of data are being optimized with piecewiseMultiConstant. So the problems areally only dependent on 4 parameters, not 9.. closes #56
@loganharbour
Copy link
Member

Transferring to moose, this will need to be completed in moose

@loganharbour loganharbour transferred this issue from idaholab/isopod Sep 26, 2022
@loganharbour loganharbour added the C: Modules/Optimization Tickets pertaining to the optimization module label Sep 26, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
C: Modules/Optimization Tickets pertaining to the optimization module
Projects
None yet
Milestone
No milestone
Development

Successfully merging a pull request may close this issue.

force parameter inversion using piecewiseMultilinearFromReporter func… lynnmunday/isopod
2 participants
@loganharbour @lynnmunday