Q
Qing-Wen Wang
Researcher at Shanghai University
Publications - 168
Citations - 3446
Qing-Wen Wang is an academic researcher from Shanghai University. The author has contributed to research in topics: Matrix (mathematics) & Quaternion. The author has an hindex of 33, co-authored 148 publications receiving 2929 citations. Previous affiliations of Qing-Wen Wang include Nanyang Technological University & University of Wyoming.
Papers
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Measurement-induced nonlocality based on Wigner-Yanase skew information
TL;DR: Wang et al. as discussed by the authors proposed a measure of measure-induced nonlocality based on Wigner-Yanase skew information, which not only has good computability but also eliminates the noncontractivity problem appearing in the original measure of MIN defined by the Hilbert-Schmidt norm.
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A simultaneous decomposition for seven matrices with applications
TL;DR: A simultaneous decomposition for seven matrices with compatible sizes is constructed and some solvability conditions, general solutions, as well as the range of ranks of the general solutions to the following two generalized Sylvester matrix equations are given.
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Extreme Ranks of Real Matrices in Solution of the Quaternion Matrix Equation AXB = C with Applications
Qing-Wen Wang,Shaowen Yu,Wei Xie +2 more
TL;DR: In this article, a necessary and sufficient condition is given for the existence of a real solution of the consistent quaternion matrix equation AXB = C, and the formulas are established for maximal and minimal ranks of real matrices X1, X2, X3, X4 in solution X = X1 + X2i + X3j + X4k.
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On Hermitian Solutions of the Split Quaternion Matrix Equation $$AXB+CXD=E$$ A X B + C X D = E
TL;DR: In this paper, the authors discuss Hermitian solutions of split quaternion matrix equation and establish a necessary and sufficient condition for the existence of a solution and a solution formula, and provide numerical algorithms and numerical examples to illustrate the results.
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Extending BiCG and BiCR methods to solve the Stein tensor equation
TL;DR: The BiCG and BiCR methods are extended to solve the high order Stein tensor equation and the convergent properties of the developed iterative algorithms are studied.