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20092025
most citedpmwd: A Differentiable Cosmological Particle-Mesh -body Library

15 citations · 18 across the 11 of their papers we have counts for

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16 papers · 1 filter

math.NA2025

Truncated kernel windowed Fourier projection: a fast algorithm for the 3D free-space wave equation

Nour G. Al Hassanieh, Alex H. Barnett, Leslie Greengard

We present a spectrally accurate fast algorithm for evaluating the solution to the scalar wave equation in free space driven by a large collection of point sources in a bounded dom…

math.NA2025

Fast Multipole Method with Complex Coordinates

Tristan Goodwill, Leslie Greengard, Jeremy Hoskins +2

In this work we present a variant of the fast multipole method (FMM) for efficiently evaluating standard layer potentials on geometries with complex coordinates in two and three di…

math.NA2025

A fast algorithm for the wave equation using time-windowed Fourier projection

Nour G. Al Hassanieh, Alex H. Barnett, Leslie Greengard

We introduce a new arbitrarily high-order method for the rapid evaluation of hyperbolic potentials (space-time integrals involving the Green's function for the scalar wave equation…

math.NA2024

Coordinate complexification for the Helmholtz equation with Dirichlet boundary conditions in a perturbed half-space

Charles L. Epstein, Leslie Greengard, Jeremy Hoskins +2

We present a new complexification scheme based on the classical double layer potential for the solution of the Helmholtz equation with Dirichlet boundary conditions in compactly pe…

math.NA2024

On the construction of scattering matrices for irregular or elongated enclosures using Green's representation formula

Carlos Borges, Leslie Greengard, Michael O'Neil +1

Multiple scattering methods are widely used to reduce the computational complexity of acoustic or electromagnetic scattering problems when waves propagate through media containing…

math.NA20231 cited

A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution

Shidong Jiang, Leslie Greengard

We introduce a new class of multilevel, adaptive, dual-space methods for computing fast convolutional transforms. These methods can be applied to a broad class of kernels, from the…