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Filtering by: Subject Engineering inspection -- Mathematical models Remove constraint Subject: Engineering inspection -- Mathematical models Advisor Cull, Paul Remove constraint Advisor: Cull, Paul Peer Reviewed No Remove constraint Peer Reviewed: No

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  • Machine learning in engineering : techniques to speed up numerical optimization

    Creator:
    Cerbone, G. (Giuseppe)
    Abstract:
    Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. For example, these methods depend critically on choosing a good starting point from which to perform the optimization search. In high-dimensional spaces, numerical...
    Resource Type:
    Dissertation
    Full Text:
    artifact and, in most engineering tasks, it is a science founded on well-established mathematical