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Guglielmi, N., Rehman, M.-U. and Kressner, D. (2016) A Novel Iterative Method to Approximate Structured Singular Values. arXiv preprint arXiv:1605.04103.

has been cited by the following article:

• TITLE: Computing Structured Singular Values for Delay and Polynomial Eigenvalue Problems

  AUTHORS: Mutti-Ur Rehman, Danish Majeed, Naila Nasreen, Shabana Tabassum

  KEYWORDS: µ-Values, Block Diagonal Uncertainties, Spectral Radius, Low-Rank Approximation, Delay Eigenvalue Problems, Polynomial Eigenvalue Problems

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.7 No.7, July 21, 2017

  ABSTRACT: In this article the computation of the Structured Singular Values (SSV) for the delay eigenvalue problems and polynomial eigenvalue problems is presented and investigated. The comparison of bounds of SSV with the well-known MATLAB routine mussv is investigated.