A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices

Authors

  • Dorothee Richters, Michael Lass, Andrea Walther, Christian Plessl & Thomas D. Kühne

DOI:

https://doi.org/10.4208/cicp.OA-2018-0053

Keywords:

Matrix $p$-th root, iteration function, order of convergence, symmetric positive definite matrices, Newton-Schulz, Altman hyperpower method.

Abstract

We address the general mathematical problem of computing the inverse p-th root of a given matrix in an efficient way. A new method to construct iteration functions that allow calculating arbitrary p-th roots and their inverses of symmetric positive definite matrices is presented. We show that the order of convergence is at least quadratic and that adjusting a parameter q leads to an even faster convergence. In this way, a better performance than with previously known iteration schemes is achieved. The efficiency of the iterative functions is demonstrated for various matrices with different densities, condition numbers and spectral radii.

Published

2018-10-11

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Section

Articles

How to Cite

A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. (2018). Communications in Computational Physics, 25(2), 564-585. https://doi.org/10.4208/cicp.OA-2018-0053