Results 121 to 130 of about 256 (175)
Polynomial Numerical Hulls of Matrices
, 2007 . For any n-by-n complex matrix A, we use the joint numerical range W(A,A 2,..., A k) to study the polynomial numerical hull of order k of A, denoted by V k (A). We give an analytic description of V 2 (A) when A is normal.
Chi-kwong Li, Ler Davis, Abbas Salemi
core
The solvability conditions for the inverse eigenvalue problem of normal skew J-Hamiltonian matrices. [PDF]
J Inequal Appl, 2018 Zhao J, Zhang J.
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A Note On The Field Of Values Of Non-Normal Matrices
, 2007 . It is shown that the distance from zero of the field of values of a matrix A depends on how large the departure from normality is compared to the distance from the zero of the field of values of the normal part of A.
Ilse C. F. Ipsen
core
New iterative criteria for strong [Formula: see text]-tensors and an application. [PDF]
J Inequal Appl, 2017 Cui J, Peng G, Lu Q, Huang Z.
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An upper bound for the Z-spectral radius of adjacency tensors. [PDF]
J Inequal Appl, 2018 Wu ZY, He J, Liu YM, Tian JK.
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Spectral top-down recovery of latent tree models. [PDF]
Inf inference, 2023 Aizenbud Y +7 more
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Sombor characteristic values of cographs. [PDF]
HeliyonRaza Z, Rather BA, Imran M.
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A new Z-eigenvalue localization set for tensors. [PDF]
J Inequal Appl, 2017 Zhao J.
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A Pilot Study Evaluating the Effects of a Technology-Based and Positive Psychological Training Intervention on Blood Pressure in African Americans With Hypertension. [PDF]
J Prim Care Community Health, 2021 Still CH +4 more
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On the use of larger bulges in the QR algorithm
, 2008 . The role of larger bulges in the QR algorithm is controversial. Large bulges are infamous for having a strong, negative influence on the convergence of the implicit shifted QR algorithm.
Daniel Kressner
core