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QCPE

THIS INFORMATION IS OBSOLETE AND IS PROVIDED ONLY FOR ITS HISTORICAL VALUE

QCPE
Main / Catalog / Section01


93. NESBET: Eigenvalues and Eigenvectors of Large Matrices

by H. H. Michels and P. Elliott, United Aircraft Research Laboratory

Subroutine computes the lowest eigenvalue and eigenvector of a real symmetric matrix. An iterative method is used starting with a specified diagonal element as trial eigenvalue. The method, the fastest known procedure for obtaining a single eigenvalue, is due to R. K. Nesbet, J. Chem. Phys., 43, 311 (1965).

FORTRAN IV (IBM 7090, CDC 3600, Univac 1108). Lines of Code: 119 Recommended Citation: H. H. Michels and P. Elliott, QCPE 11, 93 (1966).


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