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This is a side project of mine, which experiments with creating automatically differentiable grids. It is very uncertain what will be the result, if any.
The starting point for a differentiable grid is a set of nodes and connectivity maps, represented by ad operators (which may be variables). This will both be accessed through class methods returning an operator. We also need methods for derived quantities including
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This is a side project of mine, which experiments with creating automatically differentiable grids. It is very uncertain what will be the result, if any.
The starting point for a differentiable grid is a set of nodes and connectivity maps, represented by ad operators (which may be variables). This will both be accessed through class methods returning an operator. We also need methods for derived quantities including
Tasks
Some of this will probably be done most conveniently on the model/grid list level, since that's how we've set up the AD machinery.
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