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Algebraic algorithms for least squares problem in quaternionic quantum theory

机译:四元数论中最小二乘问题的代数算法

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摘要

Quaternionic least squares (QLS) problem is one method of solving overdetermined sets of quaternion linear equations AX approximate to B that is appropriate when there is error in the matrix B. In this paper, by means of complex representation of a quaternion matrix, we introduce a concept of norm of quaternion matrices, discuss singular values and generalized inverses of a quaternion matrix, study the QLS problem and derive two algebraic methods for finding solutions of the QLS problem in quaternionic quantum theory. (c) 2007 Elsevier B.V. All rights reserved.
机译:四元数最小二乘(QLS)问题是一种求解四元数线性方程组AX的近似定式的一种方法,当矩阵B中存在误差时,四元数线性方程组AX合适。四元数矩阵范数的概念,讨论四元数矩阵的奇异值和广义逆,研究QLS问题,并推导了两种代数方法,以找到四元数论量子理论中QLS问题的解。 (c)2007 Elsevier B.V.保留所有权利。

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