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 Curious
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  • 14 votes cast
Jun
30
accepted Shared maximum eigenvector
Jun
30
comment Shared maximum eigenvector
Could you elaborate your response a little?
Jun
29
comment Shared maximum eigenvector
$A$, $B$ are only required to be Hermitian. With this, the eigenvalues are always real, then there are no worries about the ordering.
Jun
29
comment Shared maximum eigenvector
Thank you Nik, I add the condition of A and B being Hermitian. I look for a more 'exhaustive' condition rather than the ones I metion in the question.
Jun
29
revised Shared maximum eigenvector
added 12 characters in body
Jun
29
asked Shared maximum eigenvector
Jun
23
comment MLE and CRLB with mismatched likelihoods
I think that it is easy to observe what happens with the Fisher information (so as for the CRLB) when KL decomposition is used.
Jun
4
accepted Hadamard Product and Eigendecomposition
May
29
revised Hadamard Product and Eigendecomposition
added 382 characters in body
May
28
comment Hadamard Product and Eigendecomposition
OK, then I assume no further insights can be obtained.
May
28
asked Hadamard Product and Eigendecomposition
Mar
23
comment Finding the optimal mixture of two convex functions
Whenever we have a more clear understanding of f(.), it is possible to re-write the problem somehow. For instance, if f is a linear form, the problem becomes a QCQP which can be approximately solved under certain conditions.
Mar
20
comment Matrix inequality
Right, but I guess the ordering defined with arbitrary matrices is preserved.
Mar
20
comment Matrix inequality
Nice derivation. Can I include you in the paper's acknowledgement ?
Mar
20
accepted Matrix inequality
Mar
20
awarded  Curious
Mar
19
asked Matrix inequality
Jan
29
accepted Positive solutions of linear systems with a diagonally dominant matrix
Jan
27
answered What's the most efficient way to solve this euclidean projection on non-negative affine space constraint?
Jan
14
revised Positive solutions of linear systems with a diagonally dominant matrix
added 163 characters in body