1989
DOI: 10.1002/9780470141229.ch5
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The Recursive Residue Generation Method

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Cited by 106 publications
(6 citation statements)
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“…For very large systems, there are approximating algorithms based on variational methods, which effectively reduce the linear space of basis functions to "active spaces" (Wyatt 1989), or that make use of a multimode character of the wave functions (Carter et al 1998), as well as algorithms based on adiabatic solutions of the time-dependent Schrödinger equation (with typically more than 100 degrees of freedom, Jungwirth and Gerber 1995). Recently, an improved relaxation method has been applied to calculate vibrational eigenstates within the multiconfigurational timedependent Hartree method (Richter et al 2007, Vendrell et al 2007, Doriol et al 2008).…”
Section: Calculation Of Rovibrational Statesmentioning
confidence: 99%
“…For very large systems, there are approximating algorithms based on variational methods, which effectively reduce the linear space of basis functions to "active spaces" (Wyatt 1989), or that make use of a multimode character of the wave functions (Carter et al 1998), as well as algorithms based on adiabatic solutions of the time-dependent Schrödinger equation (with typically more than 100 degrees of freedom, Jungwirth and Gerber 1995). Recently, an improved relaxation method has been applied to calculate vibrational eigenstates within the multiconfigurational timedependent Hartree method (Richter et al 2007, Vendrell et al 2007, Doriol et al 2008).…”
Section: Calculation Of Rovibrational Statesmentioning
confidence: 99%
“…Although the Lanczos method has been in existence for more than half a century, its applications in molecular physics have been limited until quite recently. Wyatt was among the first to popularize the recursive approach, which has flourished to become the method of choice today for studying highly excited vibrational spectra. , In particular, he promoted the approach of Cullum and Willoughby for identifying the so-called spurious eigenvalues that emerge in finite-precision arithmetic without the expensive orthogonalization, which renders the implementation of the Lanczos diagonalizer straightforward and very efficient. Our implementation of the Lanczos method has been reviewed in refs and , so no more detail is given here.…”
Section: Computational Detailsmentioning
confidence: 99%
“…For this reason, iterative methods are often used to calculate spectra. [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55] They require only the computation of matrix-vector products and can be implemented without modifying or storing the matrix. When a direct product basis is used, the Hamiltonian matrix-vector products can be computed without storing the Hamiltonian matrix and without even calculating its matrix elements.…”
Section: Eigensolversmentioning
confidence: 99%