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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
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# High level description
Least squares batch filters and classical Kalman filters are both methods for estimating the state of a dynamic system from noisy measurements. They both use a mathematical…
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## ❓ Questions and Help
Hi, I'm doing pose graph optimization with theseus. I get the following error:
```
4294 Traceback (most recent call last):
4295 File "/home/stud/lxuh/LoopClosure_for_…
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these will include call outs to R just as @adkinsrs has already implemented:
1] new nmf method called "fixed gene weights in NMF re-run", when we add this methods, we should rename the old NMF proj…
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Chapter 9, page 240, following eq. 9.12, the text from above the equation appears a second time.
> After understanding the Jacobian derivation, the rest is the same as ordinary
graph optimization.…
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As I noted [here](https://discourse.julialang.org/t/lagrangian-function/38287/19?u=stevengj), it is pretty easy to compute Lagrange multipliers, given an optimum x computed by *any* optimization algor…
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### 🚀 The feature, motivation and pitch
### Feature
Adding levenberg-marquardt (LM) algorithm to Torch.Optim.
### Motivation
Levenberg-Marquardt (LM), also known as damped least squares, is u…
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This issue tracks improvement tasks in May (after the practice run).
Slides:
- [ ] Add slide on why Pyomo
- [ ] Change slide template
- [ ] Add logos for other projects for more applications
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least squares cross-validation in KDEMultivariate can produce widely different results after small changes in the data.
There is currently no option to influence the optimization with fmin in `_kernel…