Abstract
This program finds the eigenvalues λ and eigenvectors v of a matrix A, of size up to 12 x 12. That is, EIGENFINDER finds λ and v such that Av = Aλ. The process of finding the eigenvalues is called diagonalization of the matrix, because the final result is an eigenvalue matrix, A*, with the eigenvalues lying along the main diagonal and zeros elsewhere. This diagonal matrix, A*, has the same eigenvalues and determinant and trace as the original matrix, A.
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© 1993 Springer-Verlag New York, Inc.
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Hubbard, J.H., West, B.H. (1993). EigenFinder. In: MacMath 9.2. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8378-9_14
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DOI: https://doi.org/10.1007/978-1-4613-8378-9_14
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94135-6
Online ISBN: 978-1-4613-8378-9
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