Krylov-space algorithms for time-dependent Hartree–Fock and density functional computations
A fast, low memory cost, Krylov-space-based algorithm is proposed for the diagonalization of large Hamiltonian matrices required in time-dependent Hartree–Fock (TDHF) and adiabatic time-dependent density-functional theory (TDDFT) computations of electronic excitations. A deflection procedure based o...
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| Published in | The Journal of chemical physics Vol. 113; no. 1; pp. 36 - 43 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
01.07.2000
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-9606 1089-7690 |
| DOI | 10.1063/1.481770 |
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| Summary: | A fast, low memory cost, Krylov-space-based algorithm is proposed for the diagonalization of large Hamiltonian matrices required in time-dependent Hartree–Fock (TDHF) and adiabatic time-dependent density-functional theory (TDDFT) computations of electronic excitations. A deflection procedure based on the symplectic structure of the TDHF equations is introduced and its capability to find higher eigenmodes of the linearized TDHF operator for a given numerical accuracy is demonstrated. The algorithm may be immediately applied to the formally-identical adiabatic TDDFT equations. |
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| ISSN: | 0021-9606 1089-7690 |
| DOI: | 10.1063/1.481770 |