1981
DOI: 10.1016/0301-0104(81)87013-9
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Strict Lindemann behaviour because of an activation bottleneck

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Cited by 7 publications
(1 citation statement)
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“…The accuracy of the Nesbet algorithm was then tested extensively in a different manner. The matrix A can be transformed into another matrix M having the same set of eigenvalues, but for which there exists an analytical solution 10 for the smallest eigenvalue and eigenvector of [ M + D ]. Over the complete range of pressures, the Nesbet eigenvalue agreed with the analytical solution to the number (7) of significant figures requested.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…The accuracy of the Nesbet algorithm was then tested extensively in a different manner. The matrix A can be transformed into another matrix M having the same set of eigenvalues, but for which there exists an analytical solution 10 for the smallest eigenvalue and eigenvector of [ M + D ]. Over the complete range of pressures, the Nesbet eigenvalue agreed with the analytical solution to the number (7) of significant figures requested.…”
Section: Numerical Resultsmentioning
confidence: 99%