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**Maintainer note.** Skip to https://github.com/cvxpy/cvxpy/issues/2362#issuecomment-2029669331 to see the conclusion we came to about this GitHub Issue.
**Original report below.**
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jhk23 updated
7 months ago
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This tutorial parameterizes a quadratic `ax^2+b` with `a` optimized by PyTorch autograd and `b` optimized with the Theseus NLLS for a given `a`. The key piece that enables `a` to be learned is that we…
bamos updated
2 years ago
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@msmdev, how difficult would it be to speed up our optimisation by using derivative information? Is there a prototype implementation somewhere?
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**Is your feature request related to a problem? Please describe.**
The Drake documentation currently suggests using Toppra to enforce acceleration bounds. When I tried it in the most obvious way, Top…
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The histograms have been deprecated in astroML in favour of astropy, thus transferring this issue by @ZacKeskin here. (was https://github.com/astroML/astroML/issues/107)
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As …
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Hi,
I am trying to use spearmint for parameter optimization. Like any optimization problem, there can be many solutions. What stopping criterion do you use? I can imagine it being something like tole…
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We currently offer these two functions:
```c++
// N.B. In discussions below, we decided to _not_ change MakeIrisObstacles as part of this ticket.
~ConvexSets MakeIrisObstacles(~
~ const Query…
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## Goal:
The aim of this issue is to solve NOCP for generating centroidal momentum dynamics using sequential convex programming (SCP) subject to state and control constraints.
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There are surely better ways to find the local minimum of a non-convex multidimensional function.