‎a matrix lsqr algorithm for solving constrained linear operator equations

Authors

masoud hajarian

abstract

in this work‎, ‎an iterative method based on a matrix form of lsqr algorithm is constructed for solving the linear operator equation $mathcal{a}(x)=b$‎ ‎and the minimum frobenius norm residual problem $||mathcal{a}(x)-b||_f$‎ ‎where $xin mathcal{s}:={xin textsf{r}^{ntimes n}~|~x=mathcal{g}(x)}$‎, ‎$mathcal{f}$ is the linear operator from $textsf{r}^{ntimes n}$ onto $textsf{r}^{rtimes s}$‎, ‎$mathcal{g}$ is a linear self-conjugate involution operator and‎ ‎$bin textsf{r}^{rtimes s}$‎. ‎numerical examples are given to verify the efficiency of the constructed method‎.

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Journal title:
bulletin of the iranian mathematical society

Publisher: iranian mathematical society (ims)

ISSN 1017-060X

volume 40

issue 1 2014

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