2007
DOI: 10.1002/jcc.20850
|View full text |Cite
|
Sign up to set email alerts
|

Strategies for an efficient implementation of the Gauss–Bessel quadrature for the evaluation of multicenter integral over STFs

Abstract: In a previous work, a new Gauss quadrature was introduced with a view to evaluate multicenter integrals over Slater-type functions efficiently. The complexity analysis of the new approach, carried out using the three-center nuclear integral as a case study, has shown that for low-order polynomials its efficiency is comparable to the SD. The latter was developed in connection with multi-center integrals evaluated by means of the Fourier transform of B functions. In this work we investigate the numerical propert… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2012
2012

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 61 publications
0
1
0
Order By: Relevance
“…The bottle-neck of these programs is the calculation of the three-and four-center repulsion integrals. The approximate methods used are: one-center expansion [7,8,9,10,11], translation [12,13], Gaussian expansion [14], Gauss transform [15,16,17], and Fourier transform [18,19,20,21,22,23] methods. The disadvantages of these methods are on one hand side the low accuracy achieved, what results in longer expansions and increased computational times, and on the other side the need of numerical integrations.…”
Section: Introductionmentioning
confidence: 99%
“…The bottle-neck of these programs is the calculation of the three-and four-center repulsion integrals. The approximate methods used are: one-center expansion [7,8,9,10,11], translation [12,13], Gaussian expansion [14], Gauss transform [15,16,17], and Fourier transform [18,19,20,21,22,23] methods. The disadvantages of these methods are on one hand side the low accuracy achieved, what results in longer expansions and increased computational times, and on the other side the need of numerical integrations.…”
Section: Introductionmentioning
confidence: 99%