A new method for solving matrix equation \(AXB+CX^T D=E\) (Q1649210)
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scientific article; zbMATH DE number 6898819
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A new method for solving matrix equation \(AXB+CX^T D=E\) |
scientific article; zbMATH DE number 6898819 |
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A new method for solving matrix equation \(AXB+CX^T D=E\) (English)
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5 July 2018
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Summary: In this paper, we propose a new iterative algorithm to solve the matrix equation \(AXB+CX^T D=E\). The algorithm can obtain the minimal Frobenius norm solution or the least-squares solution with minimal Frobenius norm. Our algorithm is better than Algorithm II of the paper [the author et al., Appl. Math. Comput. 187, No. 2, 622--629 (2007; Zbl 1121.65048)].
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iterative algorithm
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Kronecker product
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LSQR
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matrix equation
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least squares
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0.9199119210243224
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0.909637987613678
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0.867912769317627
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0.8500917553901672
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