New Approach to Identify Common Eigenvalues of real matrices using Gerschgorin Theorem and Bisection method
arXiv:1003.17941.2h-index: 5
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For researchers in numerical linear algebra or image processing, this offers a potentially simpler approach, but the lack of experimental validation makes it an incremental contribution.
The paper presents a new method combining Gerschgorin theorem and the Bisection method to identify common eigenvalues of two real matrices, with potential applications in image processing and noise estimation. No concrete results or performance numbers are provided.
In this paper, a new approach is presented to determine common eigenvalues of two matrices. It is based on Gerschgorin theorem and Bisection method. The proposed approach is simple and can be useful in image processing and noise estimation.