๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Least squares stabilization for one-point integration

โœ Scribed by D.G. Roddeman

Book ID
104268608
Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
73 KB
Volume
51
Category
Article
ISSN
0045-7949

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

The least-squares stabilization method f
The least-squares stabilization method for resonance eigenvalues
โœ Ersin Yurtsever ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 277 KB

A variation on the stabilization method of Hazi and Taylor is proposed. The expectation value of H2 is known to be sensitive to changes in the wavefunction and can be used to detect the presence and the position of the resonances. By systematically increasing the size of the basis and analyzing the

Integral constraints on the accuracy of
Integral constraints on the accuracy of least-squares estimation
โœ Brett Ninness ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 823 KB

It is common to need to estimate the frequency response of a system from observed input-output data. This paper uses integral constraints to characterise the undermodelling-induced errors involved in solving this problem via parametric least-squares methods. This is achieved by exploiting the Hilber

Application of integral operator for reg
Application of integral operator for regularized least-square regression
โœ Hongwei Sun; Qiang Wu ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 583 KB

In this paper, we study the consistency of the regularized least-square regression in a general reproducing kernel Hilbert space. We characterize the compactness of the inclusion map from a reproducing kernel Hilbert space to the space of continuous functions and show that the capacity-based analysi