The NEOS Server offers Knitro
for the solution of:
Knitro natively offers several other interfaces in a variety of languages:
(i) object-oriented interfaces for C++, C#, Java and Python;
(ii) matrix-oriented interfaces for C, Fortran, Matlab, and R;
(iii) links to modelling languages AIMS, AMPL, GAMS, and MPL;
(iv) and links to Excel through Frontline Solvers.
Key features of Knitro include:
(i) a large set of well-documented user options (see the Knitro documentation)
and automatic tuner;
(ii) (parallel) multi-start for global optimization;
(iii) derivatives approximation and checker; and
(iv) internal presolver.
Knitro was originally developed by Richard Byrd, Mary Beth
Hribar, Jorge Nocedal
and Richard Waltz with
additional help from Guanghui Liu, Marcelo Marazzi, Todd Plantenga, and Jose
Luis Morales. Since July 2015, Knitro has been developed by Artelys with
Richard Waltz as lead developer.
Free trial and evaluations of Knitro are available on the Download
page of the Artelys
website. For more information on Knitro, see the Artelys
Knitro Overview or directly contact Artelys.
The user must submit a model in AMPL
format. Examples are provided in the examples
section of the AMPL website.
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
option knitro_options 'OPTIONS';
Knitro offers both interior-point and active-set methods. The user may
specify the algorithm by setting the Knitro/AMPL option "alg" to one of
the following values: