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A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians

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CheckAutoDiffJacobian uses `x.derivatives` as the identity matrix so it does not detect errors in derivative calculation that consist in ignoring `x.derivatives` in the jacobian calculation. . I would need to...

The following code: ``` A = sprand(3000,3000,0.2); x0 = rand(3000,1); F = @(x) diag(x.^2)*A*x; J_ad = AutoDiffJacobian(F, x0); ``` does not work. Error message is: ``` Requested 9000000x9000000 (73.0GB) array...

Hello,I have a question about QR and calculation of partial derivatives. Say I have a input A(x), it is a m×n matrix and x={x1,x2,x3,...xn} is argument. Q is the orthonormal...

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Hi @martinResearch and thanks for creating this package, which I stumbled upon while reading https://github.com/google/jax/issues/1032. This issue is about understanding it a little better. From what I can tell, known...