The NEOS Server offers LANCELOT for the solution of nonlinearly
constrained optimization problems in
AMPL
format.
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
Andy Conn,
Nick Gould ,
and
Philippe Toint.
Using the NEOS Server for LANCELOT
The user must submit a model in
AMPL
format to solve a nonlinearly constrained optimization problem.
Examples of models in AMPL format can be found in the
netlib collection.
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
or set
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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and other countries.
Enter the location of the ampl model (local file)
Model File:
Enter the location of the ampl data file (local file)
Data File:
Enter the location of the ampl commands file (local file)
Commands File:
Comments:
Put in priority queue. 5 minute job runtime limit.
Dry run: generate job XML instead of submitting it to NEOS
Please do not click the 'Submit to NEOS' button more than once.
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