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    Optimal Model-Based Decomposition of Powertrain System Design 

    Source: Journal of Mechanical Design:;1995:;volume( 117 ):;issue: 004:;page 499
    Author(s): N. F. Michelena; P. Y. Papalambros
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Optimal design of large engineering systems modeled as nonlinear programming problems remains a challenge because increased size reduces reliability and speed of numerical optimization algorithms. ...
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    Formal Solution of N-Type Robust Parameter Design Problems with Stochastic Noise Factors 

    Source: Journal of Mechanical Design:;1994:;volume( 116 ):;issue: 002:;page 501
    Author(s): N. F. Michelena; A. M. Agogino
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Taguchi method of product design is a statistical experimental technique aimed at reducing the variance of a product performance characteristic due to uncontrollable factors. The goal of ...
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    A Network Reliability Approach to Optimal Decomposition of Design Problems 

    Source: Journal of Mechanical Design:;1995:;volume( 117 ):;issue: 003:;page 433
    Author(s): N. F. Michelena; P. Y. Papalambros
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Methods for solving partitioned mathematical programming problems require that an appropriate structure suitable for decomposition be identified. This first step consists of identifying linking ...
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