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Matrix Inversion Using Cholesky Decomposition

Mathematical Software 2013-10-21 v2

Abstract

In this paper we present a method for matrix inversion based on Cholesky decomposition with reduced number of operations by avoiding computation of intermediate results; further, we use fixed point simulations to compare the numerical accuracy of the method.

Keywords

Cite

@article{arxiv.1111.4144,
  title  = {Matrix Inversion Using Cholesky Decomposition},
  author = {Aravindh Krishnamoorthy and Deepak Menon},
  journal= {arXiv preprint arXiv:1111.4144},
  year   = {2013}
}

Comments

3pp with minor changes, pre-print; accepted for publication 2013 IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) conference

R2 v1 2026-06-21T19:37:39.128Z