Results 81 to 90 of about 596,753 (209)
, 2022 This distance matrix was used to determine when the reference sequences of two prey species in the database were identical.
Chad Nordstrom (4048861) +12 more
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Weighted Unifrac Distance Matrix
, 2013 Weighted UniFrac Distance matrix between all Project Acheron samples.
Jessica Green (425491)
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A Diagonalization Algorithm for the Distance Matrix of Cographs
IEEE Access, 2018 Cographs is a well-known class of graphs in graph theory, which can be generated from a single vertex by applying a series of complement (or equivalently join operations) and disjoint union operations.
Zhibin Du
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Bayesian Estimation of A Distance Functional Weight Matrix Model [PDF]
This paper considers the distance functional weight matrix in spatial autoregressive and spatial error models from a Bayesian point of view. We considered the Markov chain Monte Carlo methods to estimate the parameters of the models.
Kazuhiko Kakamu
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, 2013 Bray-Curtis distance matrix relating all pairs of Project Acheron samples.
Jessica Green (425491)
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Distance signless Laplacian eigenvalues, diameter, and clique number [PDF]
Discrete Mathematics Letters, 2022 Saleem Khan, Shariefuddin Pirzada
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Sufficient conditions for symmetric matrices to have exactly one positive eigenvalue
Special Matrices, 2020 Let A = [aij] be a real symmetric matrix. If f : (0, ∞) → [0, ∞) is a Bernstein function, a sufficient condition for the matrix [f (aij)] to have only one positive eigenvalue is presented.
Al-Saafin Doaa, Garloff Jürgen
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, 2014 Pairwise distance matrix between all nest boxes. Distances are absolute differences between geographical position (degrees lattitude and longitude)
Heylen, Dieter J. A. +9 more
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A unified approach to protein domain parsing with inter-residue distance matrix. [PDF]
Bioinformatics, 2023 Zhu K, Su H, Peng Z, Yang J.
europepmc +1 more source
Bounds for the componentwise distance to the nearest singular matrix
, 1997 The normwise distance of a matrix A to the nearest singular matrix is well known to be equal to ∥A∥/cond(A) for norms subordinate to a vector norm. However, there is no hope for finding a similar formula or even a simple algorithm for computing the ...
Rump, Siegfried M.
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