A new algorithm picks the support radius of weak-form test functions by locating the changepoint of an estimated integration error curve, and this radius lands near the parameter-error minimum in most tested cases.
Beier , A discrete filter perspective of the modulating function method and non-analytic modulating functions, PhD thesis, TU Ilmenau, Dec
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Weak Form Scientific Machine Learning: Test Function Construction for System Identification
A new algorithm picks the support radius of weak-form test functions by locating the changepoint of an estimated integration error curve, and this radius lands near the parameter-error minimum in most tested cases.