The NEOS Server offers filter for the solution of
nonlinearly constrained optimization problems in
filter is suitable for large nonlinearly constrained problems
with a modest number of degrees of freedom.
filter implements a Sequential Quadratic Programming solver
that is suitable for solving large nonlinearly constrained
problems. Additional information on filter can be found in the
manual for filterSQP. filter was developed by Roger Fletcher and Sven Leyffer.
Using the NEOS Server with filter
The user must submit a model in AMPL
format to solve a nonlinear programming problem.
section of the AMPL website provides examples of models in AMPL format.
The nonlinear programming problem must be specified by a model file
with the options of a data file and a commands file. If the commands file
is specified, it must contain the AMPL solve command. The commands
file must not contain the model or data commands.
The model and data files are renamed internally by NEOS.
The commands file may include AMPL commands and option settings for filter.
To specify solver options, add
option filter_options "OPTIONS";
where OPTIONS is a list of one or more of the filter options. See the