May 8, 2024, 4:46 a.m. | Qiao Wang

cs.CV updates on

arXiv:2301.00326v2 Announce Type: replace-cross
Abstract: This study examines the convexification version of the backward differential flow algorithm for the global minimization of polynomials, introduced by O. Arikan \textit{et al} in \cite{ABK}. It investigates why this approach might fail with high-degree polynomials yet succeeds with quartic polynomials. We employ the heat evolution method for convexification combined with Gaussian filtering, which acts as a cumulative form of Steklov's regularization. In this context, we apply the fingerprint theory from computer vision. Originally developed …

abstract algorithm arxiv differential evolution flow global heat math.oc study through type

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