Windowing of design space is considered in order to reduce the bias errors due to low-order polynomial response surfaces (RS). Standard design space windowing (DSW) uses a region of interest by setting a requirement on response level and checks it by a global RS predictions over the design space. This approach, however, is vulnerable since RS modeling errors may lead to the wrong region to zoom on. The approach is modified by introducing an eigenvalue error measure based on point-to-point mean squared error criterion. Two examples are presented to demonstrate the benefit of the error-based DSW.


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    Title :

    Error-Based Design Space Windowing


    Contributors:

    Conference:

    40th AIAA Aerospace Sciences Meeting and Exhibit ; 2002 ; Reno, NV, United States


    Publication date :

    2002-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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