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age | ||
visits | member for | 2 years, 5 months |
seen | May 23 '13 at 6:08 | |
stats | profile views | 27 |
Feb 21 |
awarded | Teacher |
Dec 13 |
answered | Signal model classification between two possbile candidates |
Dec 12 |
revised |
Signal model classification between two possbile candidates
edited title |
Dec 11 |
asked | Signal model classification between two possbile candidates |
Dec 11 |
comment |
How to calculate the inverse of the sum of two eigen-decomposed matrices
So we only need to inverse a matrix with the size = rank($B$), right? This is a good solution. Thank you very much! |
Dec 7 |
revised |
How to calculate the inverse of the sum of two eigen-decomposed matrices
added 4 characters in body |
Dec 7 |
comment |
How to calculate the inverse of the sum of two eigen-decomposed matrices
What if $A$ or $B$ have very low rank (but do not share a large eigenspace)? Any solution for this scenario? Thanks. |
Dec 7 |
revised |
How to calculate the inverse of the sum of two eigen-decomposed matrices
added 2 characters in body; added 8 characters in body; added 8 characters in body |
Dec 7 |
awarded | Editor |
Dec 7 |
revised |
How to calculate the inverse of the sum of two eigen-decomposed matrices
deleted 1 characters in body; added 43 characters in body |
Dec 7 |
comment |
How to calculate the inverse of the sum of two eigen-decomposed matrices
You are right. x is a given vector. U1 and U2 are the unitary matrices, while V1 and V2 are diagonal matrices, formed by the eigen-vectors of A and B respectively. |
Dec 5 |
awarded | Student |
Dec 5 |
asked | How to calculate the inverse of the sum of two eigen-decomposed matrices |