For certain computations I need a quick approximation of the left singular vector of a matrix G( nxk ; n>k ). Also, the corresponding singular value would be needed. Perhaps after approximating the singular value I could use the Conjugate Gradient method to obtain the approximation of the left singular vector. Any idea on how to achieve this would be very welcome.(adsbygoogle = window.adsbygoogle || []).push({});

Note that for matrix G, n which is the number of rows, is very large ( n>>k).

Thanks

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# Quick LSV approximation

Loading...

Similar Threads - Quick approximation | Date |
---|---|

I Definition of discrete Subgroup quick q | Jan 19, 2017 |

I Eistenstein series E_k(t=0) quick q? Modular forms | Dec 26, 2016 |

I Modular form quick question translation algebra | Dec 22, 2016 |

I Quick question about Lagrange's theorem | Sep 22, 2016 |

Approximate a spectrum from a series of measurements | Feb 11, 2016 |

**Physics Forums - The Fusion of Science and Community**