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Monte Carlo methods are a class of computational algorithms that rely on repeated random sampling to compute their results. Monte Carlo methods are often used in simulating physical and mathematical systems. Because of their reliance on repeated computation of random or pseudo-random numbers, these methods are most suited to calculation by a computer and tend to be used when it is unfeasible or impossible to compute an exact result with a deterministic algorithm.
Learn more about quantum dots from the many resources on this site, listed below. More information on Monte Carlo method can be found here.
IWCE 2004 Held at Purdue
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08 Feb 2005 | Workshops
IEEE and NCN sponsored the 10th International Workshop of Computational Electronics at Purdue, October 24-27, with the theme "The field of Computational Electronics - Looking back and looking ahead."