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Filtering by: Committee Member Scanlan, Michael Subject Structural optimization

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