YATSOp consists of a set of nonlinear optimization problems induced by the solution of systems of (non)linear equations. The defining feature of these problems is that they are of variable input dimension (i.e., the number of decision parameters). This facilitates testing across large ranges of such dimensions.
This page (and perhaps the set) is heavily under construction.
You can find Matlab/Octave versions of the code in m/ and Python versions of the code in py/.
In each case, calldfofuns and calldfomidfuns provide examples calling particular sets of these problems.
A simple comparison of the two different codebases may be obtained by a Matlab/Octave call to m/regressiontest.m followed by a Python call to py/compare_fvec.py.
Contributions are welcome in a variety of forms; please see CONTRIBUTING.
All code included in YATSOp is open source, with the particular form of license contained in the top-level subdirectories. If such a subdirectory does not contain a LICENSE file, then it is automatically licensed as described in the otherwise encompassing YATSOp LICENSE.
To seek support or report issues, e-mail: