Anna Yesypenko

Quasi-Optimal Randomized Recovery of $\mathcal{H}^2$ Matrices

An $\mathcal H^2$ matrix represents well-separated interactions using nested low-rank bases while retaining nearby interactions explicitly. We consider the problem of constructing an explicit, strongly admissible $\mathcal H^2$ approximation using only products with the matrix and its adjoint, and develop two randomize...