Differential Equations Solutions
Importance sampling is a statistical technique used to estimate properties of a particular distribution while focusing on more significant regions of the input space. This method works by changing the probability measure under which random samples are drawn, allowing for better efficiency and accuracy in simulations. By sampling from a more 'important' distribution, it can reduce variance in estimates, making it especially useful in Monte Carlo simulations.
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