Gaussian Homotopy Optimization with Predictor–Corrector Path Tracking and Deterministic Sampling
A Predictor–Corrector Gaussian Homotopy (PCGH) method is proposed that formulates Gaussian homotopy optimization as a path tracking problem, and geometry-aware arc-length parameterizations based on Fisher-information and Hessian-derived metrics are introduced for efficient approximation of the Gaussian convolution and...
Xiao-Zhu Luo, Markus Walker, U. Hanebeck
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