2019-07-30 20:34:22 -0500 | received badge | ● Supporter (source) |

2019-07-30 14:11:40 -0500 | received badge | ● Nice Question (source) |

2019-07-30 10:20:19 -0500 | asked a question | Incorrect Eigenvalues/Eigenvectors I'm trying to compute eigenvalues and eigenvectors for certain matrices. Most of the time sage is giving me what seems to be the correct output, but sometimes it's quite wrong and I'm not sure why this is happening. Here's a concrete example with a circulant matrix. That is, it only returns a single eigenvector when I know there's in fact 11. A different issue appears with matrix.circulant([1,-1/2 |

2019-05-01 19:16:42 -0500 | received badge | ● Student (source) |

2018-01-23 19:19:57 -0500 | commented answer | Copying a Matrix Thank you so much for that excellent answer, it was exactly what I was looking for! |

2018-01-23 19:19:07 -0500 | received badge | ● Scholar (source) |

2018-01-23 13:25:02 -0500 | asked a question | Copying a Matrix I'm trying to take the Singular Value Decomposition of the adjacency matrix of a graph A, but all my "reasonable" attempts at doing so have failed, see the code below. I believe the problem has something to do with the matrix being immutable, so I've been trying to copy A into a different matrix M and then perform SVD on M. he only thing that I've found to work is to essentially build A from scratch, but there must be a better method. |

Copyright Sage, 2010. Some rights reserved under creative commons license. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.