1990
DOI: 10.1007/bf01114534
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Multi-exponential unimolecular rate formulae

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Cited by 2 publications
(3 citation statements)
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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, 9 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: 85%
“…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, 9 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: 85%
“…The present methods can still fail in extreme cases, , but solutions to eq 1, acceptable for approximate numerical modeling, may still be possible. As noted previously, given a relaxation matrix M having the same eigenvalues as A , the reaction matrix [ M + D ] can be solved analytically for the rate constant and eigenvector, and the shape of the falloff curve for [ M + D ] is very similar to that for [ A + D ], although the low-pressure limits are different , neither calculation of this eigenvalue nor those of A itself usually presents any problem.…”
mentioning
confidence: 99%
“…The present methods can still fail in extreme cases, , but solutions to eq 1, acceptable for approximate numerical modeling, may still be possible. As noted previously, given a relaxation matrix M having the same eigenvalues as A , the reaction matrix [ M + D ] can be solved analytically for the rate constant and eigenvector, and the shape of the falloff curve for [ M + D ] is very similar to that for [ A + D ], although the low-pressure limits are different …”
mentioning
confidence: 99%