Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...
The first open-source implementation of Yau's Affine Normal Descent (YAND), a geometric optimization algorithm that derives search directions from the equi-affine normal of level-set hypersurfaces.
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
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