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Can we integrate nonlinear equality and inequality constraints?
Using active set strategy will most likely loose the theoretical convergence properties.
But maybe filters are worth exploring?
[…
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Feedback obtained: "Almost perfect. The hessian term is always using L2 regularization."
Criteria: Create a custom, one-versus-all logistic regression classifier using numpy and scipy to optimize. …
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**URL**: https://bookdown.org/rdpeng/advstatcomp/steepest-descent.html
**Browser / Version**: Firefox 99.0
**Operating System**: Linux
**Tested Another Browser**: Yes Chrome
**Problem type**: S…
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Until now (as of 07f2a3ae7c8) the documentation gives examples of custom convergence criteria for Steepest Descent that are only based on inter-particle distances. This is not always re-usable, for ex…
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In https://github.com/loco-3d/crocoddyl/pull/658, the BoxQP was changed substantially.
From the PR description:
> One of the main problem was due to a bug in the box QP, incorrect output of the ac…
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Hi,
Is there any function that extracts the maximum values of posteriors from `samples`.
![f](https://user-images.githubusercontent.com/7780103/150135405-79c96045-4fac-41be-b1b9-81b53f9ae527.png)…
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Hello,
When doing parameter estimation, one loads data with the add_experiment() function which takes a parameter "file_name" to chose a specific storage location for the preprocessed file.
If i…
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to give an idea how long they've been around
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Recently I was trying to implement the ODE parameter optimization using autograd function in torch. The data were simulated using the ODEs below (a 2-compartment pharmacokinetic model, in ODE form rat…