Computing the Matrix Geometric Mean of Two HPD Matrices: A Stable Iterative Method
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
A new iteration scheme for computing the sign of a matrix which has no pure imaginary eigenvalues is presented. Then, by applying a well-known identity in matrix functions theory, an algorithm for computing the geometric mean of two Hermitian positive definite matrices is constructed. Moreover, another efficient algorithm for this purpose is derived free from the computation of principal matrix square root. Finally, several experiments are collected.
Keywords:
Language:
English
Published:
International Journal of Industrial Mathematics, Volume:12 Issue: 1, Winter 2020
Pages:
71 to 79
https://www.magiran.com/p2050631
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Extending the Lifetime of Wireless Sensor Networks Using Fuzzy Clustering Algorithm Based on Trust Model
*, Behzad Zamani Dehkordi
Journal of Optimization in Soft Computing, Autumn 2023 -
European and American put valuation via a high-order semi-discretization scheme
*
Computational Methods for Differential Equations, Winter 2018