Dynamical low-rank approximation (DLRA) methods have emerged as a powerful numerical framework for addressing the challenges posed by high-dimensional problems. By restricting the evolution of a ...
This is a preview. Log in through your library . Abstract The paper applies the theory developed in Part I to the discrete normal approximation in total variation of random vectors in ℤd. We ...
SIAM Journal on Numerical Analysis, Vol. 54, No. 4 (2016), pp. 2256-2281 (26 pages) The focus of this paper is the approximation of analytic functions on compact intervals from their pointwise values ...
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