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Abstract: Given a matrix A, the computation of its pseudospectrum (A) is a far more expensive task than the computation of characteristics such as the condition number and the matrix spectrum. As research of the last 15 years has shown, however, the matrix pseudospectrum provides valuable information that is not included in other indicators. So, ask how to compute it eciently and build a tool that would facilitate engineers and scientists to make such analyses? In this paper we focus on parallel... (Update)
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BibTeX entry: (Update)
@inproceedings{ bekas01towards,
author = "C. Bekas and E. Kokiopoulou and I. Koutis and Efstratios Gallopoulos",
title = "Towards the effective parallel computation of matrix pseudospectra",
booktitle = "International Conference on Supercomputing",
pages = "260-269",
year = "2001",
url = "citeseer.ist.psu.edu/453167.html" }
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