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__NOTOC__ The fast multipole method (FMM) is a numerical technique that was developed to speed up the calculation of long-ranged forces in the ''n''-body problem. It does this by expanding the system
Green's function In mathematics, a Green's function is the impulse response of an inhomogeneous linear differential operator defined on a domain with specified initial conditions or boundary conditions. This means that if \operatorname is the linear differenti ...
using a multipole expansion, which allows one to group sources that lie close together and treat them as if they are a single source. The FMM has also been applied in accelerating the
iterative solver In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the ''n''-th approximation is derived from the pre ...
in the method of moments (MOM) as applied to computational electromagnetics problems. The FMM was first introduced in this manner by
Leslie Greengard Dr. Leslie F. Greengard is an American mathematician, physicist and computer scientist. He is co-inventor with Vladimir Rokhlin Jr. of the fast multipole method (FMM) in 1987, recognized as one of the top-ten algorithms of the 20th century. Gree ...
and Vladimir Rokhlin Jr. and is based on the multipole expansion of the vector Helmholtz equation. By treating the interactions between far-away basis functions using the FMM, the corresponding matrix elements do not need to be explicitly stored, resulting in a significant reduction in required memory. If the FMM is then applied in a hierarchical manner, it can improve the complexity of matrix-vector products in an iterative solver from \mathcal(N^2) to \mathcal(N) in finite arithmetic, i.e., given a tolerance \varepsilon, the matrix-vector product is guaranteed to be within a tolerance \varepsilon. The dependence of the complexity on the tolerance \varepsilon is \mathcal(\log(1/\varepsilon)), i.e., the complexity of FMM is \mathcal(N\log(1/\varepsilon)). This has expanded the area of applicability of the MOM to far greater problems than were previously possible. The FMM, introduced by Rokhlin Jr. and Greengard has been said to be one of the top ten
algorithm In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specificat ...
s of the 20th century. The FMM algorithm reduces the complexity of matrix-vector multiplication involving a certain type of dense matrix which can arise out of many physical systems. The FMM has also been applied for efficiently treating the Coulomb interaction in the
Hartree–Fock method In computational physics and chemistry, the Hartree–Fock (HF) method is a method of approximation for the determination of the wave function and the energy of a quantum many-body system in a stationary state. The Hartree–Fock method often ...
and
density functional theory Density-functional theory (DFT) is a computational quantum mechanical modelling method used in physics, chemistry and materials science to investigate the electronic structure (or nuclear structure) (principally the ground state) of many-body ...
calculations in
quantum chemistry Quantum chemistry, also called molecular quantum mechanics, is a branch of physical chemistry focused on the application of quantum mechanics to chemical systems, particularly towards the quantum-mechanical calculation of electronic contributions ...
.


See also

*
Barnes–Hut simulation The Barnes–Hut simulation (named after Josh Barnes and Piet Hut) is an approximation algorithm for performing an ''n''-body simulation. It is notable for having order O(''n'' log ''n'') compared to a direct-sum algorithm which would b ...
* Multipole expansion * ''n''-body simulation


References


External links

*Gibson, Walton C. ''The Method of Moments in Electromagnetics''. Chapman & Hall/CRC, 2008.
Abstract of Greengard and Rokhlin's original paper

A short course on fast multipole methods
by Rick Beatson and Leslie Greengard.
JAVA Animation of the Fast Multipole Method
Nice animation of the Fast Multipole Method with different adaptations.


Free software


Puma-EM
A high performance, parallelized, open source Method of Moments / Multilevel Fast Multipole Method electromagnetics code.

The Kernel-Independent Fast Multipole 3d Method (kifmm3d) is a new FMM implementation which does not require the explicit multipole expansions of the underlying kernel, and it is based on kernel evaluations.
FastBEM
Free fast multipole boundary element programs for solving 2D/3D potential, elasticity, stokes flow and acoustic problems.
FastFieldSolvers
maintains the distribution of the tools, called FastHenry and FastCap, developed at M.I.T. for the solution of Maxwell equations and extraction of circuit parasites (inductance and capacitance) using the FMM.
ExaFMM
ExaFMM is a CPU/GPU capable 3D FMM code for Laplace/Helmholtz kernels that focuses on parallel scalability.
ScalFMM
ScalFMM is a C++ software library developed at
Inria The National Institute for Research in Digital Science and Technology (Inria) () is a French national research institution focusing on computer science and applied mathematics. It was created under the name ''Institut de recherche en informatiq ...
Bordeaux with high emphasis on genericity and parallelization (using
OpenMP OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, on many platforms, instruction-set architectures and operating syste ...
/ MPI).
DASHMM
DASHMM is a C++ Software library developed at Indiana University using Asynchronous Multi-Tasking HPX-5 runtime system. It provides a unified execution on shared and distributed memory computers and provides 3D Laplace, Yukawa, and Helmholtz kernels.
RECFMM
Adaptive FMM with dynamic parallelism on multicores. {{Portal bar, Mathematics, Physics, Astronomy Numerical analysis Numerical differential equations Computational science