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Hello, thx for sharing your code, I got some issues about calculate ManoLayer's jacobian matrix in my project.
I use **pytorch official api** to get ManoLayer's jacobian but it takes too much time, …
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template
using ReturnType = std::invoke_result_t;
**Severity Code Description Project File Line Suppression State Details
Error C2039 'invoke_result_t': is not a member of 'std' jacobian_autodiff…
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Based on clad discussion #780. We assume the current computations of a Jacobian and Hessian are returned as a dense matrix. We wish to augment the API to allow sparse representations of the Jacobian…
a-jp updated
2 months ago
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When differentiating a function that takes a quaternion as an input, I get several different solutions for different setups.
I know it's not really correct to treat a quaternion as a regular 4D vect…
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### Describe the bug
Computing `inner_product_derivative_matrix` in `FisherRaoMetric` requires computing Jacobian and Hessian of `pdf` at given base points. We would like to use Jacobian of Jacobia…
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*Original comment: Have to extend count and enumerate to take the context of type definitions. Count has to do some kind of least fixed point computation, or a Jacobian matrix or something like that.…
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It would be useful for JuMP to have a method to compute jacobian-vector and jacobian-matrix products. The current approach for computing jacobians can be interpreted as a jacobian-matrix products with…
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Hi Author,
Sorry to bother you!
Those days i'm study G2O, it's a great optimizer project.
For more deep understand G2O, i'm debugging the code now.
But for how to get Jacobian i can't understa…
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In the GPSPose2Factor you write, the Jacobian matrix relative to the position is the identity matrix. However, I found that in gtsam 4.0, the Jacobian matrix of the GPSFactor relative to the position …
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_point_jacobian_ returns 3 x nDof jacobian matrix, how to get 6D jacobian(i.e., similar to rbdl CalcPointJacobian6D)?