Among the CUTEr test problems are the CUTE test
problems. These problems span a wide spectrum of difficulty, ranging from
small-scale differentiable unconstrained minimization to large-scale
equality and inequality-constrained dense and sparse problems, systems of
nonlinear equations, network problems etc.
Since the SIF is a superset of the MPS modeling language, access to
suites of linear programming problems, such as the
problems is possible.
Among other things, the set covers the Argonne Test Set, the
Hock and Schittkowski collection, the Dembo network
problems, the Gould QPs, etc.
test set is available online. A list of
newly-added problems is also available.
The extension of the SIF to more naturally support quadratic terms in
the involved functions resulted in our including the
and Meszaros convex quadratic programming problems set in the
main CUTEr set [updated].
The default size of the CUTEr problems have been raised in an
attempt to reflect the increasing size of modern problems. The
problems are now parameterized and no longer need manual
intervention. The SIF decoder now supports a command-line option
allowing to change parameters, such as the problem size, in a