dot-abstract_operator: Abstract function for tensor-numeric operations Backward...
In krzjoa/aria: Extensible Autodifferentiation
Description
Abstract function for tensor-numeric operations
Backward function rather than partial derivative?
Problem: newly created tensor has by default
Maybe we don't need to track some 'abstract tensors'
Memoisation can handle this case instead
Usage
1
.abstract_operator(fun, deriv, x, y)
krzjoa/aria documentation built on Oct. 1, 2020, 12:48 p.m.
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Description
Abstract function for tensor-numeric operations Backward function rather than partial derivative? Problem: newly created tensor has by default Maybe we don't need to track some 'abstract tensors' Memoisation can handle this case instead
Usage
1 | .abstract_operator(fun, deriv, x, y)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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