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20092019
most citedAccurate computation of the high dimensional diffraction potential over hyper-rectangles

2 citations · 5 across the 5 of their papers we have counts for

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math.NA2019

Approximation of solutions to non-stationary Stokes system

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

We propose a fast method for high order approximations of the solution of the Cauchy problem for the linear non-stationary Stokes system in in the unknown velocity an…

math.NA2018★ 2 cited

Accurate computation of the high dimensional diffraction potential over hyper-rectangles

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

We propose a fast method for high order approximation of potentials of the Helmholtz type operator Delta+kappa^2 over hyper-rectangles in R^n. By using the basis functions introduc…

math.NA2018

Fast cubature of high dimensional biharmonic potential based on Approximate Approximations

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

We derive new formulas for the high dimensional biharmonic potential acting on Gaussians or Gaussians times special polynomials. These formulas can be used to construct accurate cu…

math.NA2013

Fast cubature of volume potentials over rectangular domains

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

In the present paper we study high-order cubature formulas for the computation of advection-diffusion potentials over boxes. By using the basis functions introduced in the theory o…

math.NA2009★ 1 cited

On the fast computation of high dimensional volume potentials

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

A fast method of an arbitrary high order for approximating volume potentials is proposed, which is effective also in high dimensional cases. Basis functions introduced in the theor…

math.NA2009★ 2 cited

Tensor product approximations of high dimensional potentials

Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt

The paper is devoted to the efficient computation of high-order cubature formulas for volume potentials obtained within the framework of approximate approximations. We combine this…