Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods

27 Apr 2020Bernard HaasdonkTizian WenzelGabriele SantinSyn Schmitt

Greedy kernel approximation algorithms are successful techniques for sparse and accurate data-based modelling and function approximation. Based on a recent idea of stabilization of such algorithms in the scalar output case, we here consider the vectorial extension built on VKOGA... (read more)

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