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An iterative algorithm for least squares problem in quaternionic quantum theory

机译:四元数论中最小二乘问题的迭代算法

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摘要

Quaternionic least squares (QLS) problem is one method of solving overdetermined sets of quaternion linear equations AXB = E that is appropriate when there is error in the matrix E. In this paper, by means of real representation of a quaternion matrix, we introduce a concept of norm of quaternion matrices, which is different from that in [T. Jiang, L. Chen, Algebraic algorithms for least squares problem in quaternionic quantum theory, Comput. Phys. Comm. 176 (2007) 481-485: T. Jiang, M. Wei, Equality constrained least squares problem over quaternion field, Appl. Math. Lett. 16 (2003) 883-888), and derive an iterative method for finding the minimum-norm solution of the QLS problem in quaternionic quantum theory. (C) 2008 Elsevier B.V. All rights reserved.
机译:四元数最小二乘(QLS)问题是一种解决四元数线性方程组AXB = E的超定集的方法,当矩阵E中存在误差时,它是合适的。在本文中,通过四元数矩阵的实表示,我们引入了四元数矩阵范数的概念,与[T. Jiang,L. Chen,四元数论量子理论中最小二乘问题的代数算法,计算机。物理通讯176(2007)481-485:T. Jiang,M.Wei,四元数域上的等式约束最小二乘问题,应用数学。来吧16(2003)883-888),并推导了一种迭代方法,用于找到四元数论量子理论中QLS问题的最小范数解。 (C)2008 Elsevier B.V.保留所有权利。

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