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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Bibliographic Details
Published inThe Journal of chemical physics Vol. 113; no. 1; pp. 36 - 43
Main Authors Chernyak, Vladimir, Schulz, Michael F., Mukamel, Shaul, Tretiak, Sergei, Tsiper, Eugene V.
Format Journal Article
LanguageEnglish
Published United States 01.07.2000
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ISSN0021-9606
1089-7690
DOI10.1063/1.481770

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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.
ISSN:0021-9606
1089-7690
DOI:10.1063/1.481770