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Added documentation for nearest-neighbor-gradient [cont] #169

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merged 12 commits into from
Jun 24, 2022
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Follow-up to #166

@davidscn davidscn requested a review from uekerman May 10, 2022 14:28
@boris-martin
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"There are three main variants of mapping" should become four I think.

Comment on lines 61 to 66
When using the `rowsFirst` parameter, the following format is required:

```cpp
( v0x_dx, v0y_dx, v1x_dx, v1y_dx, ... , vnx_dx, vny_dx,
v0x_dy, v0y_dy, v1x_dy, v1y_dy, ... , vnx_dy, vny_dy )
```
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This goes beyond the documentation part, but considering that the 'gradient matrix' is a Jacobian, I think the rowFirst argument should be a column first, as the Jacobian contains the derivative in a particular direction in a column, right?

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Jacobian contains the derivative in a particular direction in a column, right?

image

yes.
But here, we have a 3D tensor, right? So "rowFirst" or "columnFirst" will never tell the full story, right?

@boris-martin boris-martin self-requested a review May 11, 2022 16:02
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Good to go except minor tweaks.

"There are three main variants of mapping" should become four I think.

yes 👍

Comment on lines 61 to 66
When using the `rowsFirst` parameter, the following format is required:

```cpp
( v0x_dx, v0y_dx, v1x_dx, v1y_dx, ... , vnx_dx, vny_dx,
v0x_dy, v0y_dy, v1x_dy, v1y_dy, ... , vnx_dy, vny_dy )
```
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Jacobian contains the derivative in a particular direction in a column, right?

image

yes.
But here, we have a 3D tensor, right? So "rowFirst" or "columnFirst" will never tell the full story, right?

@davidscn
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This is now ready to merge once #169 will be merged.

@davidscn davidscn merged commit 32a9aa8 into master Jun 24, 2022
@davidscn davidscn deleted the nng-docs branch June 24, 2022 15:26
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4 participants