-
Akin to `bluesky.callbacks.fitting.LiveFit`
-
Even though the AD backend for the residual Jacobian is defined, it returns an empty Jacobian:
```julia
julia> rat42_nls = rat42(; use_nls = true) …
-
# 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…
-
### Is your feature request related to a problem? Please describe.
it is not a problem by itself, but will allow improved efficiency in scipy.optimize.least_squares. Such function, asks for separate …
-
The help file of investr seems to indicate that weights are ignored when using weighted linear (lm) or nonlinear least squares analysis (nls). Would it be hard to take into account weights, e.g. if on…
-
If I have a Jacobian matrix how can I use this package?
-
In the dev version of scipy.optimize, [least_squares](http://scipy.github.io/devdocs/generated/scipy.optimize.least_squares.html) allows for outlier-resistant nonlinear least-squares regression throug…
-
Applying Levenberg-Marquardt method to solve nonlinear least-squares problem
-
Most of the community refers to the `conjugate_gradient_normal` method by the name "Conjugate Gradient Least Squares (CGLS)", I think we should perform a rename in order to conform to this standard.
…
-
- [Supervised Descent Method](http://xiong828.github.io/sdm.html)
- [Global supervised descent method](http://xiong828.github.io/pub.html)
- [Supervised Descent Method for Solving Nonlinear Least Squa…