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Support Vector Machines (SVM) is a supervised machine learning algorithm for classification and regression tasks. SVM works by finding the optimal hyperplane that separates data points of different cl…
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Would this be possible? For certain problems excel finds a better answer than, say, diffev2. I couldn't find GRG implemented anywhere in Python, could it be implemented in mystic?
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- [ ] provide a differentiable LQR subsolver
- [ ] expose parametrization options in the generic nonlinear optimization C++/Python APIs
Related to Simple-Robotics/proxnlp#8
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We will commence a peer review and error checking process from 07th October 2024
This Issue is to record who is working on what lecture for `peer-reviews` and error checking, please self assign.
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mmcky updated
1 month ago
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**Describe the bug 🐞**
Some nonlinear equations (or boundary conditions) lead to NaNs after optimization on GPU. As shown in the MRE below, the equation `u(x) ~ 0` works on GPU (and CPU, not shown)…
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I think it would be nice if there is a package like Python's [scipy.optimize](https://docs.scipy.org/doc/scipy/reference/optimize.html) in Haskell world, which provides various optimization algorithm…
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Full original bug report in https://www.elmerfem.org/forum/viewtopic.php?t=6608 described a number of attempts to combine adaptive remesh with different discontinuity methods, which was triggering ei…
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We can formulate the convex constraint `X is PSD` with a non-convex constraint using the Burer-Monteiro formulation
```
X = YYᵀ
```
This can be useful when we have non-convex optimization problem …
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Hi, I'm using [comodo](https://github.com/ami-iit/comodo) to perform simulations on JaxSim, since it provides an easy to use interface to blf controllers.
However I'm having some flaky errors (not…
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@AtefehKashani Please define APIs and callbacks needed to perform particle optimization in python for the nonlinear shape model.
Adding @cchriste to help Alan and Atefeh getting started with python A…