2022
DOI: 10.3390/sym14071460
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The Minimum-Norm Least Squares Solutions to Quaternion Tensor Systems

Abstract: In this paper, we investigate the minimum-norm least squares solution to a quaternion tensor system A1*NX1=C1,A1*NX2+A2*NX3=C2,E1*NX1*MF1+E1*NX2*MF2+E2*NX3*MF2=D by using the Moore–Penrose inverses of block tensors. As an application, we discuss the quaternion tensor system A*NX=C,E*NX*MF=D for minimum-norm least squares reducible solutions. To illustrate the results, we present an algorithm and a numerical example.

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Cited by 7 publications
(2 citation statements)
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“…In order to speed up the calculation, the level set functions are updated using elementary arithmetic operations [8]. Because the suggested method views the binary image as partitions, it produces a binary tree with fewer levels and a smaller number of final clusters [9][10][11]. At last, a colour map is built with a limited colour scheme that helps keep everything looking straight.…”
Section: Introductionmentioning
confidence: 99%
“…In order to speed up the calculation, the level set functions are updated using elementary arithmetic operations [8]. Because the suggested method views the binary image as partitions, it produces a binary tree with fewer levels and a smaller number of final clusters [9][10][11]. At last, a colour map is built with a limited colour scheme that helps keep everything looking straight.…”
Section: Introductionmentioning
confidence: 99%
“…Some applications of color image, such as color image restoration, are closely related to the solution of quaternion linear system. Therefore, the research on the solution of quaternion linear system is also very important; Jia and Michael 20 developed the quaternion generalized minimal residual method for solving quaternion linear systems; Wang et al 21 and Xie et al 22 investigated the minimal norm least squares solution to a quaternion tensor system by using the Moore–Penrose inverses of block tensor. Using the ranks and Moore–Penrose inverses of matrices, Wang et al, 23 Xu et al, 24 and Liu et al 25 established some necessary and sufficient solvability conditions for a system of quaternion Sylvester matrix equations, respectively; Tao et al 26 derived a preconditioned modified conjugate residual method based on the Kronecker product approximations for solving quaternion tensor equations.…”
Section: Introductionmentioning
confidence: 99%