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This comes out of my CQP updates in NLP.py. We need to complete the interface returning sparse Hessians and Jacobians from a CUTEst problem and create a version of the CUTEstModel that transforms the …
lambe updated
7 years ago
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Hi, I find the process of computing jacobians is extremely slow when testing with a 512x512 pretrained stylegan2 model, is this normal?
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See [Sandu (2000) Time stepping methods that favor positivity for atmospheric chemistry modeling](https://www.mtu.edu/cs/research/papers/pdfs/favor-report.pdf). There are four methods
- A: three-stag…
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in this line:
```
Phi_tr.block(3, 0, 3, 3) = -R_3D.transpose() * skew_x(R_3D.transpose() * (new_p - p_3D));
```
I think `new_p` is equal to `(p_3D + R_3D.transpose()*v*dt)`, then the line come…
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Write unit tests for dynamics jacobians that compare analytical values to first-order numerical approximations with a small step size. (Similar unit tests have been implemented in `src/tests/unittest_…
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Hi, @jedeschaud
I think you've done a great job in the field of SLAM. The results of CT-ICP is significant. The coding is good too. Would you please tell me how to get the **derivatives (jacobians…
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## Description
Solving ODEs with their sensitivities is numerically very intensive. Currently, the sensitivity calculation requires to evaluate the Jacobian wt to states and parameters in each step o…
wds15 updated
5 years ago
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Two users have found that their input files (Zapdos-Crane) runs for hours when using a solve_type = newton, but for only ~30 minutes using solve_type = pjfnk (preconditioned jacobian-free Newton-Krylo…
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we found computeError uses bprior - VA/VG->estimate() but linearizeOplus() gives Identity() not -I, is this part wrong?
`void computeError(){ const VertexAccBias* VA = static_cast<const Ver…
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Hello,
It would be great to add a couple of more test cases. As far as I have seen, the testing / examples of running the code only include the normal and optimized version without linearized outpu…