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Stochastic
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==Computer science== [[Stochastic ray tracing]] is the application of [[Monte Carlo simulation]] to the [[computer graphics]] [[Ray tracing (graphics)|ray tracing]] algorithm. "[[Distributed ray tracing]] samples the [[integrand]] at many randomly chosen points and averages the results to obtain a better approximation. It is essentially an application of the [[Monte Carlo method]] to [[3D computer graphics]], and for this reason is also called ''Stochastic ray tracing''."{{citation needed|date=October 2013}} [[Stochastic forensics]] analyzes computer crime by viewing computers as stochastic steps. In [[artificial intelligence]], stochastic programs work by using probabilistic methods to solve problems, as in [[simulated annealing]], [[stochastic neural network]]s, [[stochastic optimization]], [[genetic algorithm]]s, and [[genetic programming]]. A problem itself may be stochastic as well, as in planning under uncertainty.
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