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- W2023196639 abstract "In this paper, two new matrix iterative methods are presented to solve the matrix equation AXB=C, the minimum residual problem minX∈S‖AXB−C‖ and the matrix nearness problem minX∈SE‖X−X∗‖, where S is the set of constraint matrices, such as symmetric, symmetric R-symmetric and (R,S)-symmetric, and SE is the solution set of above matrix equation or minimum residual problem. These matrix iterative methods have faster convergence rate and higher accuracy than the matrix iterative methods proposed in Deng et al. (2006) [13], Huang et al. (2008) [15], Peng (2005) [16] and Lei and Liao (2007) [17]. Paige’s algorithms are used as the frame method for deriving these matrix iterative methods. Numerical examples are used to illustrate the efficiency of these new methods." @default.
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- W2023196639 date "2010-12-01" @default.
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- W2023196639 title "New matrix iterative methods for constraint solutions of the matrix equation<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML altimg=si5.gif display=inline overflow=scroll><mml:mi>A</mml:mi><mml:mi>X</mml:mi><mml:mi>B</mml:mi><mml:mo>=</mml:mo><mml:mi>C</mml:mi></mml:math>" @default.
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- W2023196639 doi "https://doi.org/10.1016/j.cam.2010.07.001" @default.
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