The NEOS Server offers LANCELOT for the solution of nonlinearly
constrained optimization problems in
LANCELOT is suitable for large nonlinearly constrained problems and
implements an augmented Lagrangian algorithm.
Additional information on LANCELOT is available in the
User's Guide for LANCELOT.
LANCELOT was developed by Andy Conn, Nick Gould, and Philippe Toint.
Using the NEOS Server with LANCELOT
The user must submit a model in
AMPL format to solve a nonlinear programming problem. Examples of models in AMPL format can be found in the
The nonlinear program 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. It 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 or set solver options for
LANCELOT. To specify solver options, add
option lancelot_options "OPTIONS";
where OPTIONS is one or more of the LANCELOT options, which are listed
in the LANCELOT Directives for AMPL.
Enter the location of the AMPL model (local file)
Enter the location of the AMPL data file (local file)
Enter the location of the AMPL commands file (local file)
Dry run: generate job XML instead of submitting it to NEOS
Short Priority: submit to higher priority queue with maximum CPU time of 5
Please do not click the 'Submit to NEOS' button more than once.