-
```
Hi,
First of all, I would like to thank you for your open source.
While I was looking at your code, I got some questions regarding A matrix and
df_dx in implicit solver.
In you code, number…
-
For control purposes, the decoupled nature of the centroidal dynamics may be of fundamental importance in practice. So, it would be great to have all elements for running the actual control architectu…
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https://github.com/AliaksandrSiarohin/first-order-model/blob/78079d14396052dea55a1ee6a4432fb13da61c53/modules/keypoint_detector.py#L69
I find that the Heatmap is used in predicting Jacobian matrice…
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Is there a chance to expand the code base to support matrix multiplications with the Jacbian?
Here is an MWE that shows what I am trying to accomplish based on the example from the documentation
```…
-
```
Hi,
First of all, I would like to thank you for your open source.
While I was looking at your code, I got some questions regarding A matrix and
df_dx in implicit solver.
In you code, number…
-
Sometimes you actually do want the jacobian of a function. If this function is a vector->vector function, the Jacobian is a matrix. It's not immediately obvious how to define the jacobian for, say, a …
-
```
Hi,
First of all, I would like to thank you for your open source.
While I was looking at your code, I got some questions regarding A matrix and
df_dx in implicit solver.
In you code, number…
-
**Feature description.**
If the WEC DOFs are translational and rotational rigid body motions we can help the user construct the Jacobian matrix by asking them the type of PTO (translation, rotation) …
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From below code, it outputs value of keypoints by (heatmap * grid).sum(dim=(2, 3))
Then I can get tensor with shape of (10, 2) (Here, 10 is the number of keypoints)
`grid = make_coordinate_grid(sh…
puhuk updated
2 years ago
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## Description
We would like to have an orthonormal matrix type for constrained variables in Stan. That requires defining the transform and its inverse plus log Jacobian determinant in the math li…