A fast algorithm for particle simulations
Journal of Computational Physics
An implementation of the fast multipole method without multipoles
SIAM Journal on Scientific and Statistical Computing
Yet another fast multipole method without multipoles—pseudoparticle multipole method
Journal of Computational Physics
A kernel-independent adaptive fast multipole algorithm in two and three dimensions
Journal of Computational Physics
On the Compression of Low Rank Matrices
SIAM Journal on Scientific Computing
Hybrid cross approximation of integral operators
Numerische Mathematik
A fast direct solver for boundary integral equations in two dimensions
Journal of Computational Physics
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Approximating integral operators by a standard Galerkin discretisation typically leads to dense matrices. To avoid the quadratic complexity it takes to compute and store a dense matrix, several approaches have been introduced including $\mathcal {H}$-matrices. The kernel function is approximated by a separable function, this leads to a low rank matrix. Interpolation is a robust and popular scheme, but requires us to interpolate in each spatial dimension, which leads to a complexity of $m^d$ for $m$-th order. Instead of interpolation we propose using quadrature on the kernel function represented with Green's formula. Due to the fact that we are integrating only over the boundary, we save one spatial dimension compared to the interpolation method and get a complexity of $m^{d-1}$.