A gradient-descent algorithm with level-set surface representation and dynamic point adjustment generates curvature-adaptive, locally regular point distributions on curved surfaces with low deviation from target spacing.
Large-scale machine learning with stochastic gradient descent
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Globally adaptive and locally regular point discretization of curved surfaces
A gradient-descent algorithm with level-set surface representation and dynamic point adjustment generates curvature-adaptive, locally regular point distributions on curved surfaces with low deviation from target spacing.