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BDMLP



The NEOS Server offers the GAMS/BDMLP solver for the solution of linear programming problems in GAMS format. GAMS/BDMLP is a free Simplex based LP solver that comes with any GAMS system and is intended for small to medium sized models. GAMS/BDMLP was originally developed at the World Bank by T. Brooke, A. Drud, and A. Meeraus and is now maintained by GAMS Development. BDMLP can solve reasonably sized models, as long as the models are not too degenerate and are well scaled.


Using the NEOS Server for GAMS/BDMLP

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: If you are unfamiliar with GAMS, the GAMS Tutorial gives a quick introduction to the essentials of a GAMS model and the output provided when the model is solved. Examples of models in GAMS format can be found in the GAMS model library and an alphabetical index is also available.

The NEOS Server initially 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 the modeling language for further information.
You can submit an optimization problem specified in the GAMS modeling language to be solved using the optimization tools on the NEOS Server. You need to specify the absolute path to a GAMS file on your system.
Model File:


The Options file is optional and requires that the statement <modelname>.optfile = 1 ; exist before the solve statement in your model file. At this time, only optfile = 1 is supported; however, options may also be specified within the model input file (see the GAMS documentation).
Options File:


The log file contains information generated by the algorithm during a solve. Checking the box will cause the log file to be included in the output returned.
Return log file:


Enter any additional comments here (e.g. to identify the data for your own information). These comments will be returned with your results.
Comments:


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Please do not click the 'Submit to NEOS' button more than once.


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