Determination and Application of Generalized Bias Operators Using an Inverse Perturbation Approach

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Abstract
A methodology that rests on the introduction of a generalized bias operator is developed to improve the agreement between “reference” and calculated values of all integral performance parameters in systems to be designed. This methodology is not as broad in scope as the data-adjustment technique, but it could be applied to designs as effectively as the less sophisticated, engineering-oriented, bias-factor method. It is simple and inexpensive from a computational standpoint and can reflect either calculational or experimental biases. Illustrative numerical results are presented and discussed.

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