Slice Models in General Purpose Modeling Systems
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Slice models are collections of mathematical programs with the same structure but di erent data. Examples of slice models appear in Data Envelopment Analysis, where they are used to evaluate e ciency, and cross-validation, where they are used to measure generalization ability. Because they involve multiple programs, slice models tend to be data- intensive and time consuming to solve. However, by incorporating addi- tional information in the solution process, such as the common structure and shared data, we are able to solve these models much more e ciently. In addition because of the e ciency we achieve, we are able to process much larger real-world problems and extend slice model results through the application of more computationally-intensive procedures.