A Fourier-Galerkin method with explicit error bounds rigorously computes stationary measures and Lyapunov exponents, proving noise-induced order transitions in Gaussian-noise perturbed unimodal maps.
Error analysis of some operations involved in the cooley-tukey fast fourier transform.��� ������������ �� ������������ ��������, 46(2):1–27, May 2020
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Reliable Programmatic Weak Supervision with Confidence Intervals for Label Probabilities
A Fourier-Galerkin method with explicit error bounds rigorously computes stationary measures and Lyapunov exponents, proving noise-induced order transitions in Gaussian-noise perturbed unimodal maps.