๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Computing the logarithm of a symmetric positive definite matrix

โœ Scribed by Ya Yan Lu


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
690 KB
Volume
26
Category
Article
ISSN
0168-9274

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Symmetric multisplitting of a symmetric
โœ Zhi-Hao Cao; Zhong-Yun Liu ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 562 KB

A parallel symmetric multisplitting method for solving a symmetric positive system Ax = b is presented. Here the s.p.d. (symmetric positive definite) matrix A need not be assumed in a special form (e.g. the dissection form (R.E. White, SIAM J. Matrix Anal. Appl. 11 (1990) 69-82). The main tool for d

Approximating the inverse of a symmetric
โœ Gordon Simons; Yi-Ching Yao ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 405 KB

It is shown for an n x n symmetric positive definite matrix T = (t, j) with negative offdiagonal elements, positive row sums and satisfying certain bounding conditions that its inverse is well approximated, unifornaly to order l/n 2, by a matrix S = (s,,,

A projection method for computing the mi
โœ Wolfgang Mackens; Heinrich Voss ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 773 KB

A projection method for computing the minimal eigenvalue of a symmetric and positive definite Toeplitz matrix is presented. It generalizes and accelerates the algorithm considered in [12] (W. Mackens, H. Voss, SIAM J. Matrix Anal. Appl. 18 (1997) Q-534). Global and cubic convergence is proved. Rand