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Vladimir Rokhlin

Showing results (1-10 of 7) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|September 10, 2008
A fast randomized algorithm for overdetermined linear least-squares regressionVladimir Rokhlin, Mark Tygert
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2016
On the solution of the Helmholtz equation on regions with cornersKirill Serkh, Vladimir Rokhlin
Applied and Computational Harmonic Analysis|October 22, 2020
A FAST SIMPLE ALGORITHM FOR COMPUTING THE POTENTIAL OF CHARGES ON A LINEZydrunas Gimbutas, Nicholas F Marshall, Vladimir Rokhlin
Proceedings of the National Academy of Sciences of the United States of America|September 3, 2011
Randomized approximate nearest neighbors algorithmPeter Wilcox Jones, Andrei Osipov, Vladimir Rokhlin
Journal of Mathematical Physics|October 22, 2020
A Fast Summation Method for Oscillatory Lattice SumsRyan Denlinger, Zydrunas Gimbutas, Leslie Greengard, et al.
Journal of Computational Physics|September 29, 2022
On the efficient evaluation of the azimuthal Fourier components of the Green's function for Helmholtz's equation in cylindrical coordinatesJames Garritano, Yuval Kluger, Vladimir Rokhlin, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 7, 2007
Randomized algorithms for the low-rank approximation of matricesEdo Liberty, Franco Woolfe, Per-Gunnar Martinsson, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|September 10, 2008
A fast randomized algorithm for overdetermined linear least-squares regressionVladimir Rokhlin, Mark Tygert
Proceedings of the National Academy of Sciences of the United States of America|August 3, 2016
On the solution of the Helmholtz equation on regions with cornersKirill Serkh, Vladimir Rokhlin
Applied and Computational Harmonic Analysis|October 22, 2020
A FAST SIMPLE ALGORITHM FOR COMPUTING THE POTENTIAL OF CHARGES ON A LINEZydrunas Gimbutas, Nicholas F Marshall, Vladimir Rokhlin
Proceedings of the National Academy of Sciences of the United States of America|September 3, 2011
Randomized approximate nearest neighbors algorithmPeter Wilcox Jones, Andrei Osipov, Vladimir Rokhlin
Journal of Mathematical Physics|October 22, 2020
A Fast Summation Method for Oscillatory Lattice SumsRyan Denlinger, Zydrunas Gimbutas, Leslie Greengard, et al.
Journal of Computational Physics|September 29, 2022
On the efficient evaluation of the azimuthal Fourier components of the Green's function for Helmholtz's equation in cylindrical coordinatesJames Garritano, Yuval Kluger, Vladimir Rokhlin, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 7, 2007
Randomized algorithms for the low-rank approximation of matricesEdo Liberty, Franco Woolfe, Per-Gunnar Martinsson, et al.
Pageof 1