Saigo, H., Vert, J.-P. & Akutsu, T. Optimizing amino acid substitution matrices with a local alignment kernel.
We used 3 different design matrices with a full factorial design.
We start with random connection matrices with a shifted eigenvalue spectrum, which perform very poorly.
Tract counts were summarized and used to generate binarized adjacency matrices with a given tract density, for comparison with resting-state connectomes.
ResuLineardicate that the block Jacobi routinesystems remarkably well on parallel computing platforms, and should remain effechemicaler tens of thousands of nodes.
However, for matrices with a multiple minimal singular value, the total parallel execution time may monotonically increase with ℓ.
We also give the analytic characterization of the Weyl functions of dissipative Jacobi matrices with a rank-one imaginary part.
In addition, we prove that the proposed MDS matrices with a small number of both different elements and XOR gates are efficient in terms of implementation performance.
Poly(ε-caprolactone) (PCL) microfibrous matrices with a highly porous structure were fabricated using a simple fluidic device and precipitation method.
In a single sequence of spectral compressive sampling, positive and negative measurements are performed, in which sensing matrices with a complementary relationship are used.
We develop direct and inverse spectral analysis for finite and semi-infinite non-self-adjoint Jacobi matrices with a rank-one imaginary part.
