-
For fitting data to a profile, to give an option other than spline (which can be prone to oscillations) or PowerSeriesProfile (which cannot be used past a certain degree for fitting due to numerics), …
-
This is part of INLA roadmap #340.
From the Stan [paper](https://arxiv.org/abs/2004.12550):
>One of the main bottlenecks is differentiating the estimated mode, $\theta^* $. In theory, it is stra…
-
Refactor: remove TaylorDiff as a dependency, and let the input of the evaluation and rule computation be a function which gives the first 2s derivatives of the integrand at the input x (either in plac…
-
Even when just using a pure gaussian distribution, CosmoSIS does not always match. Need to run a CosmoSIS MCMC that returns the required values before working on this code to match.
-
Automatic differentiation would be useful so we don't have to implement linearizations or Jacobians of complicated analytic functions. Examples where autodiff would help:
- Jacobians and Hessians o…
-
**Is your feature request related to a problem? Please describe.**
For both optimization of parameters and the calculation itself it would be great to have functions that analytically calculate deriv…
-
The function "similar" in basis.jl appears to apply the finite difference method which is appropriate for smooth data.
Perhaps there should be an option in "similar" as well as in ModelingToolkit fo…
-
That is standard in many other packages and also quite useful to check models. It also would allow to use models without an analytical derivative at the cost of performance and maybe numerical accurac…
-
It occurred to me that it might be worth it to try and calculate some optimal step size when calculating numerical derivatives. One for the case where the scales are similar and one for each variable …
-
This is a minor issue, but was vexing to track down so I thought I'd post this for posterity. For some users (apparently with a non-English installation of R?) the deltavar function can fail on line 3…