Fast multipole method
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 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 for efficiently treating the Coulomb interaction in the Hartree–Fock method and density functional theory calculations in quantum chemistry.
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- enThe 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 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 for efficiently treating the Coulomb interaction in the Hartree–Fock method and density functional theory calculations in quantum chemistry.
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- enThe 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 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 the method of moments (MOM) as applied to computational electromagnetics problems. The FMM was first introduced in this manner by Leslie Greengard 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 to in finite arithmetic, i.e., given a tolerance , the matrix-vector product is guaranteed to be within a tolerance The dependence of the complexity on the tolerance is , i.e., the complexity of FMM is . 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 algorithms 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 and density functional theory calculations in quantum chemistry.
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- enFast multipole method
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- portal.acm.org/citation.cfm%3Fid=36901
- github.com/exafmm/exafmm
- www.umiacs.umd.edu/~ramani/cmsc878R/fmmdemo2.jar
- scalfmm-public.gforge.inria.fr/doc/
- sourceforge.net/projects/puma-em/
- jacksondebuhr.github.io/dashmm/
- zhang416.github.io/recfmm/
- www.harperlangston.com/kifmm3d/documentation/index.html
- math.nyu.edu/faculty/greengar/shortcourse_fmm.pdf
- www.yijunliu.com/Software
- www.fastfieldsolvers.com
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- Algorithm
- Barnes–Hut simulation
- Boundary element method
- Category:Computational science
- Category:Numerical analysis
- Category:Numerical differential equations
- Computational electromagnetics
- Density functional theory
- Green's function (many-body theory)
- Hartree–Fock method
- Helmholtz equation
- Inria
- Iterative solver
- Leslie Greengard
- Message Passing Interface
- Multipole expansion
- N-body problem
- N-body simulation
- Numerical analysis
- OpenMP
- Quantum chemistry
- Vladimir Rokhlin Jr.
- SameAs
- 4joMo
- Fast multipole method
- m.026yvyw
- Méthode multipolaire rapide
- Q5437040
- Быстрый метод мультиполей
- Subject
- Category:Computational science
- Category:Numerical analysis
- Category:Numerical differential equations
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- Fast multipole method?oldid=1106150509&ns=0
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- 5938
- Wikipage page ID
- 8280771
- Wikipage revision ID
- 1106150509
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