Approximation of integral operators by Green quadrature and nested cross approximation

We present a fast algorithm that constructs a data-sparse approximation of matrices arising in the context of integral equation methods for elliptic partial differential equations. The new algorithm uses Green's representation formula in combination with quadrature to obtain a first approximation of the kernel function and then applies nested cross approximation to obtain a more efficient representation. The resulting $\mathcal{H}^2$-matrix representation requires $\mathcal{O}(n k)$ units of storage for an $n\times n$ matrix, where $k$ depends on the prescribed accuracy.

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