The NEOS Server offers LANCELOT for the solution of nonlinearly
constrained optimization problems in
LANCELOT is suitable for large nonlinearly constrained problems.
LANCELOT implements an augmented Lagrangian algorithm.
Additional information on LANCELOT can be found in the
User's Guide for LANCELOT
LANCELOT was developed by
Nick Gould ,
Using the NEOS Server for LANCELOT
The user must submit a model in
format to solve a nonlinearly constrained optimization problem.
Examples of models in AMPL format can be found in the
The model is specified by a model file, and optionally,
a data file and a commands file.
If the command file is specified it must contain
the AMPL solve command.
The commands file can contain any AMPL command
options for LANCELOT
with, for example,
option lancelot_options "ctol=10e-03 maxit=50";
Printing directed to standard out is returned
to the user with the output.
This NEOS solver executes on a Sun workstation.
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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.