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Solving large and sparse linear least-squares problems by conjugate gradient algorithms - MaRDI portal

Solving large and sparse linear least-squares problems by conjugate gradient algorithms (Q1102707)

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scientific article; zbMATH DE number 4050860
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Solving large and sparse linear least-squares problems by conjugate gradient algorithms
scientific article; zbMATH DE number 4050860

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    Solving large and sparse linear least-squares problems by conjugate gradient algorithms (English)
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    1988
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    Large and sparse least squares problems are transformed into equivalent problems which have a symmetric and positivedefinite matrix by a certain decomposition technique. The conjugate gradient algorithm (CG) is applied in the solution of the later problem. Numerical examples are performed with well-known test problems. The results illustrate that the CG algorithms applied to the modified problems is very efficient for some classes of problems.
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    Large and sparse least squares problems
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    decomposition technique
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    conjugate gradient algorithm
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    Numerical examples
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