| bio | website | twitter.com/#!/ziyuang |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 2 years |
| seen | 29 mins ago | |
| stats | profile views | 124 |

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May 17 |
awarded | Yearling |
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May 6 |
awarded | Caucus |
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Apr 17 |
comment |
About the spectral radius of a kind of matrices I am sorry but I have left out a condition: at least one entry of $A$ is negative. |
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Apr 17 |
revised |
About the spectral radius of a kind of matrices added 161 characters in body |
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Apr 17 |
comment |
Cholesky decomposition Cholesky decomposition implies positive-semidefiniteness. Consider $A=0$ and $B=1$, then the new block matrix is not positive semidefinite. |
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Apr 17 |
revised |
Prove or disprove: the spectral radius of a matrix with negative entries and row sums as 1 is larger than 1 added 224 characters in body |
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Apr 17 |
comment |
Prove or disprove: the spectral radius of a matrix with negative entries and row sums as 1 is larger than 1 I've updated the question at math.stackexchange.com/q/364427/11014 |
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Apr 17 |
asked | About the spectral radius of a kind of matrices |
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Apr 17 |
comment |
Prove or disprove: the spectral radius of a matrix with negative entries and row sums as 1 is larger than 1 Hmm...the problem I've actually met seems to have some implied constraints. Anyway thanks for the answer. |
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Apr 17 |
accepted | Prove or disprove: the spectral radius of a matrix with negative entries and row sums as 1 is larger than 1 |
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Apr 17 |
asked | Prove or disprove: the spectral radius of a matrix with negative entries and row sums as 1 is larger than 1 |
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Apr 16 |
asked | Textbooks on modern optimization (on machine learning) with exercises |
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Feb 5 |
comment |
The positive-definite-ness of RBF kernel @user1551 As I mentioned, I am calculating $\log\det$. Simply calling $\det$ will produce zero, while summing up the logarithm of eigenvalues is OK for large $\alpha$ since no eigenvalue will be calculated as negative. |
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Feb 5 |
revised |
The positive-definite-ness of RBF kernel added 41 characters in body |
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Feb 2 |
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The positive-definite-ness of RBF kernel @user1551 Then how to calculate it? RBF kernel is quite common I think there should be some robust algorithms. |
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Feb 1 |
asked | The positive-definite-ness of RBF kernel |
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Jan 7 |
awarded | Popular Question |
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Oct 25 |
awarded | Announcer |
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Oct 21 |
asked | Questions about algebraic manifold on matrices |
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Oct 9 |
comment |
SVD and sum of outer product For example, it gives a low-rank approximation of a matrix en.wikipedia.org/wiki/… |