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...