The relative risk (RR) is one of the most frequently used indices to measure the strength of association between a disease and a risk factor in etiological studies or the efficacy of an experimental treatment in clinical trials. In this paper, we concentrate attention on interval estimation of RR fo
A sparse algorithm for the evaluation of the local energy in quantum Monte Carlo
✍ Scribed by Alán Aspuru-Guzik; Romelia Salomón-Ferrer; Brian Austin; William A. Lester Jr.
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 164 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0192-8651
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✦ Synopsis
Abstract
A new algorithm is presented for the sparse representation and evaluation of Slater determinants in the quantum Monte Carlo (QMC) method. The approach, combined with the use of localized orbitals in a Slater‐type orbital basis set, significantly extends the size molecule that can be treated with the QMC method. Application of the algorithm to systems containing up to 390 electrons confirms that the cost of evaluating the Slater determinant scales linearly with system size. © 2005 Wiley Periodicals, Inc. J Comput Chem 26: 708–715, 2005
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