RALFit
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ralna
A non-linear least squares solver
Hp docs
Opening this pull request now, but I'd like to be sure the docs actually describe the changes to the code before it gets merged. This will fix #36 The option...
I recently install RalNLLS 1.0 by following instructions(https://ralfit.readthedocs.io/projects/Python/en/latest/install.html). When i import ral_nlls it shows below error. Traceback (most recent call last): File "", line 1, in ImportError: libral_nlls.so: cannot open...
Add **robust regression** implicit sublinear function to callbacks. It seems fairly easy to attach to the already existing callbacks a hook to add support for implicitly adding robustness functions. Added...
# Add support for derivative checker The idea is to add and option (`options%check_derivatives = .True.`) that checks for: 1. 1st order derivatives (user Jacobian vs FD approximation) 2. 2nd...
Add support to a new debug build using NAGFOR and all debug features, mainly to build the RALFit package with the flags: ```{bash} nagfor -g -nan -C=all -C=undefined -u -ieee=full...
The docs has one error in the description for the user Call-back `eval_J` # Ordering of the Jacobian elements Jacobian of the residuals is a matrix $J$ of $m$ rows...
Probably, clang's ld doesn't support `-export-dynamic` `make` command outputs: ``` [ 23%] Built target ral_nlls [ 26%] Built target target [ 50%] Built target ral_nlls-static [ 52%] Linking C executable...
# Tensor Newton subproblem solve (with regularization) ## Part 1 of 2 Nan's under valid options in recursive call (regularization) In the recursive call (model=4) the starting point is either...
# Subroutine `AINT_TR` 1. Deal separately with B generic and B=Identinity, I(n). 2. w%B is acting as a dense Identity matrix, and is mostly not required, except for the calls...
# Under the context of Tensor-Newton Subproblem. ## Multiple redundant calls to `eval_HF` when `eval_HP` is present ### Problem In the recursive call to `evaltensor_hf` there is a redundant call...