A fast algorithm for particle simulations
Journal of Computational Physics
A fast adaptive multipole algorithm in three dimensions
Journal of Computational Physics
A kernel-independent adaptive fast multipole algorithm in two and three dimensions
Journal of Computational Physics
Fast multipole method for the biharmonic equation in three dimensions
Journal of Computational Physics
Algorithms in FastStokes and Its Application to Micromachined Device Simulation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Journal of Computational Physics
Spectrally accurate fast summation for periodic Stokes potentials
Journal of Computational Physics
Applying a second-kind boundary integral equation for surface tractions in Stokes flow
Journal of Computational Physics
A fast, robust, and non-stiff Immersed Boundary Method
Journal of Computational Physics
Efficient numerical methods for multiple surfactant-coated bubbles in a two-dimensional stokes flow
Journal of Computational Physics
A fast multipole method for the Rotne-Prager-Yamakawa tensor and its applications
Journal of Computational Physics
Efficient FMM accelerated vortex methods in three dimensions via the Lamb-Helmholtz decomposition
Journal of Computational Physics
Hi-index | 31.48 |
Many problems in Stokes flow (and linear elasticity) require the evaluation of vector fields defined in terms of sums involving large numbers of fundamental solutions. In the fluid mechanics setting, these are typically the Stokeslet (the kernel of the single layer potential) or the Stresslet (the kernel of the double layer potential). In this paper, we present a simple and efficient method for the rapid evaluation of such fields, using a decomposition into a small number of Coulombic N-body problems, following an approach similar to that of Fu and Rodin [Y. Fu, G.J. Rodin, Fast solution methods for three-dimensional Stokesian many-particle problems, Commun. Numer. Meth. En. 16 (2000) 145-149]. While any fast summation algorithm for Coulombic interactions can be employed, we present numerical results from a scheme based on the most modern version of the fast multipole method [H. Cheng, L. Greengard, V. Rokhlin, A fast adaptive multipole algorithm in three dimensions, J. Comput. Phys. 155 (1999) 468-498]. This approach should be of value in both the solution of boundary integral equations and multiparticle dynamics.