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I was attacked to Julia by its reputation about its speed compared to e.g. python. Therefore, I tested it with one of the problems I need to solve on a daily basis, i.e. function minimisation. I compa…
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calling set_all_parameterizations on a full TP model to a GLND model is changing some outcome probabilities non-trivially.
**To reproduce:**
`from pygsti.modelpacks import smq1Q_XY as std
da…
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Maybe we can try this Nelder-Mead with box constraints.
https://github.com/lme4/lme4/blob/master/R/optimizer.R
But this does not come with a hessian, we have to calculate the hessian afterwwards.
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Why do functions with the same functionality produce different results when computed on a CPU versus a GPU?
I defined a function using numpy arrays and rewrote it in PyTorch. The test data confirmed …
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Hi,
In the case of Grassmann Manifold, the function pairwise mean is not implemented and it hence raises an notimplemented error. Is there a plan to update this ?
Also, when I try to calculate t…
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Many implemented optimisers provide stopping criteria based on the difference between the last two parameter sets (`abs(x[i] - x[i - 1]`) or the last two function evaluations (`abs(f[i] - f[i - 1])`).…
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Related to #22 in that it also requires changes to the website repository:
Some slides in `slides-pdf` which are linked from the website as well are named like this
```
slides-derivfree-1-coord…
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Model evaluation
- Model caching, not to recompute models with frozen parameters
- Paralellization with intelligent parsing of the model expression
Slowness in fitting X-ray spectra
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The example (largely from `tests/boundary.R`),
```
source("inst/testdata/koller-data.R")
ldata
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Nelder-Mead optimization algorithm. Level 2 sub-optimization of main bi-level optimization. Minimazes loss value from Lev2_Loss_Function.py and uses Lin_Solver.py or Nonlin_Solver.py based on IsoSelec…