The NEOS Server offers SNOPT for the solution of nonlinearly constrained optimization problems. Problems can be submitted to SNOPT on the NEOS server in AMPL or GAMS format.

SNOPT is a solver for nonlinearly constrained optimization problems; it is suitable for large-scale linear and quadratic programming, for linearly constrained optimization and for general nonlinear programs. SNOPT finds solutions that are locally optimal. SNOPT implements a sequential quadratic programming (SQP) algorithm. Search directions are obtained from quadratic programming subproblems that minimize a quadratic model of the Lagrangian function subject to linearized constraints. An augmented Lagrangian merit function is reduced along each search direction to ensure convergence from any starting point. SNOPT is especially effective for nonlinear programs whose functions and gradients are expensive to evaluate. The functions should be smooth but do not need to be convex.

SNOPT was developed by
Philip E. Gill,
Walter Murray, and
Michael Saunders.
Additional information on SNOPT can be found in the
User's
Guide for SNOPT Version 7.

**References**

- Gill, P. E., Murray, W., and Saunders, M. A. 2002.
SNOPT: An SQP algorithm for large-scale constrained optimization.
*SIAM Journal on Optimization***12**: 979-1006. - Gill, P. E., Murray, W., and Saunders, M. A. 2005.
SNOPT: An SQP algorithm for large-scale constrained optimization.
*SIAM Review***47**: 99-131.

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:

- It must be self contained, i.e., no $include or $batinclude statements.
- It may not execute external programs, i.e., no $call or execute statements.
- No file creation, i.e. no put files or $echo except for a file named 'results.txt'. Other files created in the GAMS model file will be deleted.

If you are unfamiliar with GAMS, the GAMS Documentation includes a GAMS Tutorial and User's Guide. 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.

Web Submission Form

To submit a nonlinear programming problem specified in the
GAMS modeling language, you need to specify the absolute path to the GAMS
file on your system.

The Options file is optional and requires that the
statement is supported, however,
options also may be specified within the model input file (see
the GAMS documentation).

`<modelname>.optfile = 1 ;`

exist before the solve statement in your model file.
Only `optfile = 1`

The GDX file is an optional file for inputs. It will be renamed
in.gdx. The model must include "$GDXIN in.gdx" to load this file.

If the box is checked, the solver will return a compressed GDX file that contains all symbols in the model.

If the box is checked, the log file containing information generated by the solver will be returned with the output.

You may enter any additional comments here, for example,
to identify the data for your own information. These comments will be returned
with your results.

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