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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14091868
Abstract: We derive a conjugate-gradient type algorithm to produce approximate least-squares (LS) solutions for an inconsistent generalized Sylvester-transpose matrix equation. The algorithm is always applicable for any given initial matrix and will arrive at an LS…
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Keywords:
squares solutions;
conjugate gradient;
algorithm;
matrix equation ... See more keywords