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### V6 Resource File                             ###
### generated on: Tue Oct 11 11:32:55 EDT 2011   ###
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### This file is designed to be delivered to the ###
### translator.                                  ###
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1=Sobol sequence was initialized with fewer dimensions than actual number of variables
29802=Invalid license configuration, contact Simulia support.
44547=This plug-in is not supported in this release of the system.
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###   Meta Model I18N string                       #
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desc=A\ variance reduction sampling technique that has almost-linear convergence.
dispname=Sobol Sampling
longdesc=Sobol sampling is a sub-random sequence of numbers that are more uniformly distributed than both simple random and descriptive sampling. Sobol sequence generates numbers as binary fractions of appropriate length from a set of special binary fractions. This technique, like descriptive sampling, is a variance reduction technique aimed at reducing the variance of the statistical estimates derived from Monte Carlo simulation data. The error in an estimate obtained using simple random sampling decreases at the rate of 1/sqrt(N) where N is the number of points; the error with descriptive sampling decreases at the rate (ln N)^q/N where q is a problem-specific number which is close to the best possible rate of 1/N for a full factorial sample. Additionally, samples obtained using Sobol\u0092s sequences exhibit a probability density function that is closer to the true density function.
prop.dispname.numberofsimulations=Number of Simulations
prop.dispname.randomseed=Random Seed
