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This is a fantastic list, thanks for putting it together. This topic has been on my mind for a while, too. I have a few suggested additions!
I've noticed that many engineering applications use the "transpose" of a known matrix operator in clever ways, but I don't often see people talk about it from the perspective of adjoints. For instance:
In multigrid methods, where we use a pair of restriction / prolongation operators to move between coarse and fine computation grids. For the simple case the operators end up just being matrix transposes of one another. Links:
This is a fantastic list, thanks for putting it together. This topic has been on my mind for a while, too. I have a few suggested additions!
I've noticed that many engineering applications use the "transpose" of a known matrix operator in clever ways, but I don't often see people talk about it from the perspective of adjoints. For instance:
In multigrid methods, where we use a pair of restriction / prolongation operators to move between coarse and fine computation grids. For the simple case the operators end up just being matrix transposes of one another. Links:
A common method for inverse kinematics uses the Jacobian transpose to approximate the desired inverse problem. Links:
Some other things to explore:
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