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 GAMS
format to solve an optimization problem. For security purposes, the model
submitted must adhere to the following conventions:
If you are unfamiliar with GAMS, the
GAMS Documentation includes a
GAMS Tutorial and
Examples of models in GAMS format can be found in the
GAMS model library.
By default, the NEOS Server limits the amount of output generated in the listing
file by turning off the symbol and unique element list, symbol cross references,
and restricting the rows and columns listed to zero. This behavior can be changed
by specifying the appropriate options in the model file. See the
documentation on GAMS output
for further information.
You may optionally submit an options file if you wish to override the default parameter settings for the solver.
Currently, the NEOS Server can only use optfile=1 with GAMS input. Therefore, any model that specifies a different options file will not work as intended.
<modelname>.optfile = 1 ;
optfile = 1