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Tags: Monte Carlo

Description

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.

Resources (21-40 of 55)

  1. Single Particle and Ensemble Monte Carlo Method

    30 Jun 2011 | Teaching Materials | Contributor(s): Dragica Vasileska

    This set of handwritten notes is part of the Semiconductor Transport class.

    http://nanohub.org/resources/11558

  2. Test for Monte Carlo Learning Module

    30 Jul 2011 | Teaching Materials | Contributor(s): Dragica Vasileska, Gerhard Klimeck

    this is a test for the MC Learning Module.

    http://nanohub.org/resources/11767

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