#### Parents

Sign in to add mentorVladimir Rokhlin | grad student | 2004 | Yale | |

(Numerical aspects of Bessel transforms and of prolate spheroidal wave functions.) |

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#### Publications

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Tygert M. (2019) Regression-aware decompositions Linear Algebra and Its Applications. 565: 208-224 |

Li H, Kluger Y, Tygert M. (2018) Randomized algorithms for distributed computation of principal component analysis and singular value decomposition. Advances in Computational Mathematics. 44: 1651-1672 |

Li H, Kluger Y, Tygert M. (2018) Randomized algorithms for distributed computation of principal component analysis and singular value decomposition Advances in Computational Mathematics. 44: 1651-1672 |

Li H, Linderman GC, Szlam A, et al. (2017) Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis. Acm Transactions On Mathematical Software. Association For Computing Machinery. 43 |

Szlam A, Tulloch A, Tygert M. (2017) Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares Siam Journal On Matrix Analysis and Applications. 38: 425-433 |

Tygert M, Bruna J, Chintala S, et al. (2016) A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11 |

Perkins W, Tygert M, Ward R. (2014) Some deficiencies of χ2 and classical exact tests of significance Applied and Computational Harmonic Analysis. 36: 361-386 |

Halko N, Martinsson PG, Shkolnisky Y, et al. (2011) An algorithm for the principal component analysis of large data sets Siam Journal On Scientific Computing. 33: 2580-2594 |

Coakley ES, Rokhlin V, Tygert M. (2011) A fast randomized algor ithm for orthogonal projection Siam Journal On Scientific Computing. 33: 849-868 |

Perkins W, Tygert M, Ward R. (2011) Computing the confidence levels for a root-mean-square test of goodness-of-fit Applied Mathematics and Computation. 217: 9072-9084 |