✦ LIBER ✦

Derivatives of eigenvalues and eigenvectors of a general complex matrix

✍ Scribed by Durbha V. Murthy; Raphael T. Haftka

Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 950 KB
Volume: 26
Category: Article
ISSN: 0029-5981
DOI: 10.1002/nme.1620260202

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Derivatives of complex eigenvectors with

Derivatives of complex eigenvectors with distinct and repeated eigenvalues

✍ Zhonghai Xu; Baisheng Wu 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 165 KB

## Abstract In this paper, we investigate the computation of the first‐order derivatives of complex eigenvectors for general non‐defective eigensystems. A new normalization condition is proposed, with which we can compute unique first‐order derivatives of arbitrary differentiable eigenvectors of sy

Several eigenvectors of a large matrix.

Several eigenvectors of a large matrix. II. The generalized eigenvalue problem

✍ J.A.R Coope; D.W Sabo 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 603 KB

Iterative computation of second-order de

Iterative computation of second-order derivatives of eigenvalues and eigenvectors

✍ Tan, Roger C. E. ;Andrew, Alan L. ;Hong, Felicia M. L. 📂 Article 📅 1994 🏛 John Wiley and Sons 🌐 English ⚖ 579 KB

Iterative computation of derivatives of

Iterative computation of derivatives of repeated eigenvalues and the corresponding eigenvectors

✍ Alan L. Andrew; Roger C. E. Tan 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 109 KB

On stochastic approximation of the eigen

On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix

✍ Erkki Oja; Juha Karhunen 📂 Article 📅 1985 🏛 Elsevier Science 🌐 English ⚖ 676 KB

Iterative calculation of eigenvalues and

Iterative calculation of eigenvalues and eigenvectors of large, real matrix systems with overlap

✍ G. A. Gallup 📂 Article 📅 1982 🏛 John Wiley and Sons 🌐 English ⚖ 262 KB

## Abstract An improved method for obtaining a few eigenvalues and eigenvectors of the symmetric matrix system is presented: where **S** ≠ **I**. The method allows us to handle larger systems more easily than any other known to the author. It requires the inversion of **S**, and __N__^3^ step, but