Accuracy of a Gram-Schmidt algorithm for the solution of linear least squares equations is compared with accuracy of least squares subroutines in three highly respected mathematical packages that use Householder transformations. Results from the four programs for 13 test problems were evaluated at 1
β¦ LIBER β¦
Accuracy of Least Squares Solutions
β Scribed by STERNE, T. E.
- Book ID
- 109508265
- Publisher
- Nature Publishing Group
- Year
- 1934
- Tongue
- English
- Weight
- 125 KB
- Volume
- 134
- Category
- Article
- ISSN
- 0028-0836
- DOI
- 10.1038/134421a0
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## Abstract In this paper, two new matrixβform iterative methods are presented to solve the leastβsquares problem: and matrix nearness problem: where matrices $A\in R^{p\times n\_1},B\in R^{n\_2\times q},C\in R^{p\times m\_1},D\in R^{m\_2\times q},E\in R^{p\times q},\widetilde{X}\in R^{n\_1\time
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