In probabilistic assessment via Monte Carlo sampling efficiency is of high importance. It is shown that Quasi-Monte Carlo mostly performs better than standard Monte Carlo. Depending on the smoothness of the function and the number of dominant parameters. Randomization techniques on Quasi-Monte Carlo allows assessing sampling accuracy.In probabilistic assessment via Monte Carlo sampling efficiency is of high importance. It is shown that Quasi-Monte Carlo mostly performs better than standard Monte Carlo. Depending on the smoothness of the function and the number of dominant parameters. Randomization techniques on Quasi-Monte Carlo allows assessing sampling accuracy.

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