𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On the optimal selection of interpolation points for use in Monte Carlo simulations

✍ Scribed by Rao S. Govindaraju


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
668 KB
Volume
16
Category
Article
ISSN
0309-1708

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Interpolation modeling of S-parameter da
✍ Campbell, Lowell L. ;Purviance, John E. πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 958 KB

## Abstract A statistical interpolation technique is presented for modeling S‐parameter measurements for use in statistical analysis and design of circuits. This is accomplished by interpolating among the measurements in an S‐parameter data base in a statistically valid manner.

Characterization of the virtual point de
✍ A.S. Hoover πŸ“‚ Article πŸ“… 2007 πŸ› Elsevier Science 🌐 English βš– 225 KB

The scaling of detector efficiency with source distance is generally a complex function of the detector shape and measurement geometry. The concept of a virtual point detector has been developed and validated in the past for Ge (Li) and HPGe detectors to deal with this problem. Characterizing the vi

Monte-Carlo Method for Simulations of Ri
✍ Thomas Vettorel; Shang Yik Reigh; Do Y. Yoon; Kurt Kremer πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 309 KB

## Abstract A detailed analysis of the efficiency of a Monte‐Carlo (MC) method employing non‐local moves for simple lattice ring polymers is presented. While the introduction of kink‐translocation moves for linear chains results in the expected speedup by a factor of the order of the number of site

On the inclusion of macroscopic theory i
✍ Jakub Tatarkiewicz πŸ“‚ Article πŸ“… 1980 πŸ› Elsevier Science 🌐 English βš– 282 KB

This paper presents the inclusion of macroscopic damage theory into Monte Carlo particle-range simulation using game theory. A new computer code called RADDI was developed on the basis of this inclusion. Results of Monte Carlo damage simulation after 6.3 MeY proton bombardment of silicon are compare