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An iterative algorithm for least squares problem in quaternionic quantum theory
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DOI：10.1016/j.cpc.2008.02.016.png)
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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.
Keyword:
quaternion matrix
quaternionic quantum theory
least squares problem
LSQR
iterative algorithm
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3.4
论文数:
1.2W
被引数:
3.7W
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