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Fast multipole method
Results: 30

#	Item
21	A short primer on the fast multipole method VIKAS CHANDRAKANT RAYKAR University of Maryland, CollegePark [removed] This is intended to be a short tutorial on fast multipole methods (FMM). These were mainly wri Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-08 19:23:14 Operator theory Ordinary differential equations Spectral theory Fourier transform Dirac delta function Mathematical analysis Fourier analysis Generalized functions
22	Scalable machine learning for massive datasets: Fast summation algorithms VIKAS CHANDRAKANT RAYKAR, University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-19 03:12:22 Supervised learning Kernel regression Support vector machine Multivariate kernel density estimation Kernel methods Kernel density estimation Computational statistics Fast multipole method Gaussian function Statistics Non-parametric statistics Machine learning
23	Reading list VIKAS C. RAYKAR, University of Maryland, CollegePark [removed] The reading list covers three topics: fast methods, machine learning, and scientific computing. The first list contains a few key papers Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-04-18 12:04:36 Kernel regression Fast multipole method Density estimation Support vector machine Regression analysis Computational statistics Kernel smoother John Shawe-Taylor Kernel methods Statistics Non-parametric statistics Kernel density estimation
24	Scalable machine learning for massive datasets: Fast summation algorithms Vikas Chandrakant Raykar University of Maryland, CollegePark Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2007-01-25 22:43:06 Multivariate kernel density estimation Kernel density estimation Gaussian function Fast multipole method Density estimation Support vector machine Kernel methods Machine learning K-nearest neighbor algorithm Statistics Non-parametric statistics Kernel regression
25	A Distributed-Memory Fast Multipole Method for Volume Potentials Dhairya Malhotra Add to Reading List Source URL: sc13.supercomputing.org Language: English - Date: 2013-11-13 03:01:00 Numerical analysis Fluid dynamics Fast multipole method Octree Applied mathematics Scalability Matrix Parallel computing Partial differential equation Mathematics Mathematical analysis Computational science
26	A Distributed-Memory Fast Multipole Method for Volume Potentials Dhairya Malhotra, George Biros (Advisor) Add to Reading List Source URL: sc13.supercomputing.org Language: English - Date: 2013-11-13 03:01:00 Potential theory Supercomputers Computational science Numerical analysis Fujitsu K computer Octree Fast multipole method Linear octree Computing Mathematical analysis Calculus
27	A Massively Parallel Adaptive Fast Multipole Method Dhairya Malhotra, George Biros for Volume Potentials Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2012-07-06 11:23:08 Potential theory Fast multipole method Multipole expansion Octree Octant Multipole moment Helmholtz equation Integral transform Kernel Calculus Mathematical analysis Mathematics
28	PDF Document Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2013-03-03 00:34:03 Applied mathematics Partial differential equations Computational science Fluid dynamics Multigrid method Wavelets Fast multipole method Malhotra Summation Mathematics Numerical analysis Mathematical analysis
29	PDF Document Add to Reading List Source URL: math.nyu.edu Language: English - Date: 2005-04-06 11:57:00 Fast multipole method Mathematics Heat equation Applied mathematics Mathematical series Numerical analysis Mathematical analysis Computational science
30	PDF Document Add to Reading List Source URL: www.ams.org Language: English - Date: 2001-03-09 11:21:54 Vladimir Rokhlin Jr. Leslie Greengard Leroy P. Steele Prize Harry Kesten Fast multipole method Richard P. Stanley Vladimir Abramovich Rokhlin Percolation Herbert Wilf Mathematics Academia Science

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