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Surprisal Analysis-Based Compaction of Entangled Molecular States of Maximal Entropy. [PDF]
Hamilton JR, Remacle F, Levine RD.
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Genetic risk predictions using deep learning models with summary data. [PDF]
Wang A, Xiao E, Cheng J, Shen X.
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Linear and Multilinear Algebra, 1998
Several possibilities to generalize P-matrices to block form are discussed. Unfortunately certain equivalences holding for P-matrices do not carry over to the block case. We opt for one such generalization calling it block P-matrices. It has the most analogies to the usual P-matrices.
Elsner, Ludwig, Szulc, Tomasz
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Several possibilities to generalize P-matrices to block form are discussed. Unfortunately certain equivalences holding for P-matrices do not carry over to the block case. We opt for one such generalization calling it block P-matrices. It has the most analogies to the usual P-matrices.
Elsner, Ludwig, Szulc, Tomasz
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Block H-matrices and spectrum of block matrices
Applied Mathematics and Mechanics, 2002Several generalizations for block \(H\)-matrices are studied by the concept of \(G\)-functions. Equivalent characterizations of \(H\)-matrices are discussed. A spectrum location of block \(H\)-matrices is determined.
Huang, Tingzhu, Li, Wen
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Decomposing Matrices into Blocks
SIAM Journal on Optimization, 1998Summary: In this paper we investigate whether matrices arising from linear or integer programming problems can be decomposed into so-called bordered block diagonal form. More precisely, given some matrix \(A\), we try to assign as many rows as possible to some number \(\beta\) of blocks of size \(\kappa\) such that no two rows assigned to different ...
Borndörfer, Ralf +2 more
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