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Автор M. Caffarel
Автор F. X. Gadea
Автор D. M. Ceperley
Дата выпуска 1991-09-14
dc.description A method for accelerating the rate of convergence of the long-time (or small-temperatur) limit of quantum Monte Carlo approaches is presented. To do that, a variation of the Lanczós algorithm suitable for QMC data is introduced. This algorithm allows one to extract more information from correlation functions at small times, thus avoiding large statistical fluctuations associated with large times. It is first applied to an exactly soluble system and then to the LiH molecule. Calculations using both the fixed-node and nodal-release approaches are discussed.
Формат application.pdf
Издатель Institute of Physics Publishing
Название Lanczós-Type Algorithm for Quantum Monte Carlo Data
Тип lett
DOI 10.1209/0295-5075/16/3/005
Electronic ISSN 1286-4854
Print ISSN 0295-5075
Журнал EPL (Europhysics Letters)
Том 16
Первая страница 249
Последняя страница 254
Выпуск 3

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