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A conjecture on the eigenvalues of a trigonometric matrix is posed with a partial proof given.
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The general problem is posed as the following: (8) Here, S is the stoichiometric matrix as described as previously and v is the flux vector.
The problem is posed as a filtering problem based on joint diagonalization of the covariance matrices of the desired and noise signals.
Her right hand is posed.
The problem is posed as.
The transfer matrix scattering problem can now be posed as T Y = ζ 2 Y, Y ∈ D ( T ).
The analogous question was posed for matrix rings over the Cuntz algebras O n in [84]: given n ∈ N, for which d ∈ N is O n ≅ M d ( O n ) as C ∗ -algebras?
Using matrix algebra notation, equation (3) can be posed as the underdetermined linear system of equations (4) y = A c, where the matrix A ∈ R n × d is constructed such that the jth column corresponds to sample x j, and the vector c = (c1,…, c n ) T. Since we look for a sparse vector c, equation (3) states that the test sample y is a linear combination of only a few training samples.
Poses were posed.
Several questions may be posed.
Two research questions were posed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com