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    Computational Improvements to Estimating Kriging Metamodel Parameters 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 008:;page 84501
    Author(s): Jay D. Martin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The details of a method to reduce the computational burden experienced while estimating the optimal model parameters for a Kriging model are presented. A Kriging model is a type of surrogate ...
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    A Methodology to Manage System-level Uncertainty During Conceptual Design 

    Source: Journal of Mechanical Design:;2006:;volume( 128 ):;issue: 004:;page 959
    Author(s): Jay D. Martin; Timothy W. Simpson
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Current design decisions must be made while considering uncertainty in both models of the design and inputs to the design. In most cases, high fidelity models are used with the assumption ...
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