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Algebraic techniques for least squares problems in commutative quaternionic theory
Authors:Dong Zhang  Zhenwei Guo  Gang Wang  Tongsong Jiang
Affiliation:1. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China;2. School of Mathematics and Statistics, Heze University, Heze China

School of Mathematical Science, Liaocheng University, Liaocheng China;3. School of Mathematics and Statistics, Linyi University, Linyi China

Abstract:Due to the rise of commutative quaternion in Hopfield neural networks, digital signal, and image processing, one encounters the approximate solution problems of the commutative quaternion linear equations AXB and AXCB. This paper, by means of real representation and complex representation of commutative quaternion matrices, introduces concepts of norms of commutative quaternion matrices and derives two algebraic techniques for finding solutions of least squares problems in commutative quaternionic theory.
Keywords:commutative quaternion  complex representation  least squares problem  matrix norm  real representation
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