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Working through tests etc. while trying to make sure that the fix for https://github.com/lme4/lme4/issues/166 doesn't break anything else.
One of the tests in https://github.com/lme4/lme4/blob/master…
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```
1. Description of the new feature
Implement this algorithm
2. Classes and or functions involved
```
Original issue reported on code.google.com by `lmoff...@gmail.com` on 12 Nov 2010 at 3:10
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Currently, optimas provides BO/MF-BO, random and grid sampling generators:
https://optimas.readthedocs.io/en/latest/api/generators.html
For many optimization jobs, it would also be helpful to have…
ax3l updated
4 months ago
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The default algorithm of the Optim minimizer is `Nelder-Mead()`, which is a gradient-free method. I'd like to explore gradient-based algorithms, such as `GradientDescent()` or `LBFGS()`.
Motivation:…
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I was checking the implementation of the `NedlerMeadSimplex` algorithm while looking at a few different code-implementations in order to better understand the algorithm and noticed a few discrepancies…
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Hi, thank you for the package. I am confused about how to put bounds on parameters using Nelder-Mead. Could you please let me know which is the correct approach? Thank you.
```
lower = [-1.0, -1.0]
…
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**Describe the solution you'd like**
I'd like to be able to do a multiparametric optimisation, ideally using the nelder-mead algorithm,as in scipy https://docs.scipy.org/doc/scipy/reference/optimize.…
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Various time series where NM ends up in a singular matrix
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Reported by Daniel Johnson.
The issue is that changing the order of the terms in the model call results in notably different results. This also happens with bobyqa, but to a much lesser extent. Th…
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**Minimal Reproducible Example 👇**
```
f(x, p = nothing) = - 0.17416892598381517 - 0.04003064633247909*x[1] + 0.04583730611180919*x[2] + 0.005229901524626298*x[1]^2 + 0.0017265452658399075*x[1]*x[…