Results 21 to 30 of about 601,118 (351)
Computing the nearest euclidean distance matrix with low embedding dimensions [PDF]
, 2013 Euclidean distance embedding appears in many high-profile applications including wireless sensor network localization, where not all pairwise distances among sensors are known or accurate.
Qi, Hou-Duo, Yuan, Xiaoming, Qi, Hou Duo
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Genalex-distance-matrix-and-PCA [PDF]
, 2017 Distance matrix input file for the program GenAlEx, and output from PCA analysis using default ...
Oyler-McCance, Sara J. +7 more
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A semismooth newton method for the nearest Euclidean distance matrix problem [PDF]
, 2013 The Nearest Euclidean distance matrix problem (NEDM) is a fundamentalcomputational problem in applications such asmultidimensional scaling and molecularconformation from nuclear magnetic resonance data in computational chemistry.Especially in the latter ...
Qi, Houduo
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On the distance matrix of a tree
Discrete Mathematics, 1976 AbstractFor a tree T on n vertices, let D(T)=(dij) denote the distance matrix of T, i.e., dij(T) is just the length of the unique path then the ith vertex and the jth vertex of T. Denote by ΔT(x) the characteristic polynom, of D(T), so that ΔT(x) = det(D(T) xl). In this paper, we investigate a number of properties of ΔT(x).
M. Edelberg +2 more
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An algorithm for computing the distance to uncontrollability [PDF]
, 1991 Elsner L, He C. An algorithm for computing the distance to uncontrollability. Systems & Control Letters. 1991;17(6):453-464.In this paper, we present an algorithm to compute the distance to uncontrollability.
He, Chunyang, Elsner, Ludwig
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The distance from a matrix polynomial to matrix polynomials with a prescribed multiple eigenvalue [PDF]
, 2008 For a matrix polynomial P(λ) and a given complex number μ, we introduce a (spectral norm) distance from P(λ) to the matrix polynomials that have μ as an eigenvalue of geometric multiplicity at least κ, and a distance from P(λ) to the matrix polynomials ...
Papathanasiou, Nikolaos +3 more
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, 2022 The supplemental data includes distance matrix images (grayscale, PNG format) and a Matlab script. (DOC)
Nuwan Tharanga Attygalle (12046997) +1 more
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Multi-distance support matrix machines [PDF]
Pattern Recognition Letters, 2019 Real-world data such as digital images, MRI scans and electroencephalography signals are naturally represented as matrices with structural information. Most existing classifiers aim to capture these structures by regularizing the regression matrix to be low-rank or sparse.
Yunfei Ye, Dong Han
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A note on completing quasi-distance and distance matrices
Special Matrices, 2019 We give a necessary and sufficient condition for the existence of a quasi-distance matrix where some positive off-diagonal entries have been prescribed. Moreover, we give an algorithm for obtaining such a matrix.
Zhang Yulin +2 more
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Realizing the distance matrix of a graph [PDF]
, 1966 An explicit description is given for the unique graph with as few arcs (each bearing a positive length) as possible, which has a prescribed matrix of shortest-path distances between pairs of distinct vertices.
Goldman, A. J.
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