𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Linear least squares solutions by householder transformations

✍ Scribed by Peter Businger; Gene H. Golub

Publisher
Springer-Verlag
Year
1965
Tongue
English
Weight
311 KB
Volume
7
Category
Article
ISSN
0029-599X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Accuracy of Gram–Schmidt orthogonalizati
Accuracy of Gram–Schmidt orthogonalization and Householder transformation for the solution of linear least squares problems
✍ James W. Longley; Roger D. Longley πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 56 KB πŸ‘ 2 views

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

A note on fitting one-compartment models
A note on fitting one-compartment models: Non-linear least squares versus linear least squares using transformed data
✍ A. John Bailer; Christopher J. Portier πŸ“‚ Article πŸ“… 1990 πŸ› John Wiley and Sons 🌐 English βš– 341 KB

Drug concentrations in one-compartment systems are frequently modeled using a single exponential function. Two methods of estimation are commonly used for determining the parameters of such a model. In the first method, non-linear least-squares regression is used to calculate the parameters. In the