Abstract: Existing adaptive filtering methods encounter ... this paper proposes the fixed-point kernel least mean squares (FPKLMS) algorithm, which extends classical kernel adaptive filtering by ...

The uniform-density variants are implemented classically as a fixed-point iteration and as a quasi-Newton method. The latter typically converges faster. Optimal Delaunay Triangulation (ODT) as ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

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Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.