| 摘要 |
A computer implemented method for determining an alternative representation of an optimization model reduces model input through compact representation of model parameters. Model generation is performed at varying levels of complexity (approximation) depending on pre-defined, business approved thresholds. The computer receives a set of functions representing a set of events where each function includes sets of first and second axis coordinate values. Each of the functions are transformed to a compacted function which includes a set of pieces including an anchor point, break points, and slopes. Successive pieces having the same slope value are removed. Alternate optimization models are generated based on the set of pieces representing a compacted function and on a predetermined accuracy value.
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