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Eigenvalue Analysis via Kernel Density Estimation

Numerical Analysis 2018-10-17 v2 Information Theory math.IT

Abstract

In this paper, we propose an eigenvalue analysis -- of system dynamics models -- based on the Mutual Information measure, which in turn will be estimated via the Kernel Density Estimation method. We postulate that the proposed approach represents a novel and efficient multivariate eigenvalue sensitivity analysis.

Keywords

Cite

@article{arxiv.1810.06276,
  title  = {Eigenvalue Analysis via Kernel Density Estimation},
  author = {Ahmed Yehia and Mohamed Saleh},
  journal= {arXiv preprint arXiv:1810.06276},
  year   = {2018}
}
R2 v1 2026-06-23T04:39:37.504Z