OOQP is a primal-dual interior point code that solves linear or convex
quadratic programming problems. Problems can be submitted to OOQP on NEOS
in AMPL format.

OOQP is an object-oriented C++ package based on a primal-dual interior-point
method for solving linear programming (LP) problems and convex quadratic
programming (QP) problems. OOQP can be used "out of the box" to solve a
variety of structured QPs, including general sparse QPs, QPs arising from
support vector machines, Huber regression problems, and QPs with bound
constraints. OOQP also can be used as a framework to design efficient
solvers for new classes of structured QPs. Its design allows for easy
substitution of the linear algebra modules, allowing different standard
linear algebra packages to be tried.

The authors of OOQP are:

Mike Gertz, (formerly of Argonne and the University of Wisconsin, Madison);

The problem must be specified in a model file. A data file and commands
files may also be provided. If the commands file is specified, it must
contain the AMPL solve command; however, it must not contain
the model or data commands. The model and data
files are renamed internally by NEOS.

The commands file may include option settings for the solver. To specify
solver options, add

Enter the location of the ampl data file (local file)

Commands File

Enter the location of the ampl commands file (local file)

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Additional Settings

Dry run: generate job XML instead of submitting it to NEOS Short Priority: submit to higher priority queue with maximum CPU time of 5
minutes
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