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Showing 1 to 2 of 2 for “"ridge functions"”.
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Approximation of signals and functions in high dimensions with low dimensional structure: finite-valued sparse signals and generalized ridge functions
… we consider the class of high dimensional functions which contains functions which are defined in high-dimensional spaces but are known to be constant along some unknown manifolds. We study different reconstruction problems under additional assumptions. In the papers [54, 41, 56] (see …
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Derivative-Free Methods for High-Dimensional Optimization with Application to Centrifugal Pump Design
… methods are proposed — optimization by moving ridge functions (OMoRF) and constrained optimization by moving ridge functions (COMoRF). Both of these methods seek to reduce the effective problem dimension by combining trust region methodologies with dimension reduction techniques. In particular, …