Abstract
Structural redundancies in large scale mathematical programming models are nothing uncommon and large scale Linear Programming Problems (LPP) are no exception. The presence of such embedded redundancies is hardly disputed and can play havoc with LP solution procedures and greatly hamper the solution effort. It is necessary to understand the modelling implications of these embedded redundancies as well as to exploit them during actual computation. The latter goal places heavy emphasis on efficient as well as effective identification techniques for economic application to large scale models. These embedded redundancies may be due to poor modelling and occasionally by bad source data.
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