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On the solution of the least-squares local energy variance minimization equations

โœ Scribed by D. K. Harriss; I. G. Solev

Publisher
John Wiley and Sons
Year
1975
Tongue
English
Weight
217 KB
Volume
9
Category
Article
ISSN
0020-7608

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โœฆ Synopsis

Abstract

The convergence behavior of an iterative procedure proposed by Frost, Kellogg, and Curtis for solution of variance minimization equations is discussed. Use of particular sets of initial parameters in the iterative procedure is shown to yield rapid convergence.

๐Ÿ“œ SIMILAR VOLUMES

Ranks of least squares solutions of the
Ranks of least squares solutions of the matrix equation
โœ Yong Hui Liu ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 224 KB

For a complex matrix equation AX B = C, we solve the following two problems: (1) the maximal and minimal ranks of least square solution X to AX B = C, and (2) the maximal and minimal ranks of two real matrices X 0 and X 1 in least square solution X = X 0 + iX 1 to AX B = C. We also give a necessary