Abstract
We present the Generalized Symmetric Rayleigh-Ritz (GSRR) procedure for finding approximate eigenfunctions and corresponding eigenvalues for a linear operator, L, in a finite function space, {φi}Ni = 1. GSRR is derived by minimizing the residual in the norm induced by an inner product, (· , ·), under the constraint that the resulting eigenfunctions be mutually orthogonal with respect to another inner product, (· , ·)a. When L is the closed-shell Fock operator, f, GSRR is a generalization of the Roothaan equations. We apply this method to f with (· , ·) defined by a grid, {rk}Mk = 1, and (· , ·)a defined by analytic integration, noting that a grid-defined (· , ·) lends itself to faster operator evaluation (scaling as MN2) and effective parallelization. When a grid is used, GSRR scales as pseudospectral methods do; however, it is in the spirit of conventional spectral methods (e.g., GSRR does not use an inverse transform).
Original language | English (US) |
---|---|
Pages (from-to) | 4152-4164 |
Number of pages | 13 |
Journal | Journal of Chemical Physics |
Volume | 110 |
Issue number | 9 |
DOIs | |
State | Published - Mar 1 1999 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Physics and Astronomy
- Physical and Theoretical Chemistry