Originally Posted by

**Evan Avast**
Is there a way to "teach the renderer" to calculate where the image is converging to? For example, whith each passing sample, the image gets closer and closer to a specific point, kind of like Y getting closer to 0 as X tends toward infinite or minus infinite, in the function Y=(1/X). As far as I know (which is really not the far, I have a very limited knowledge on these topics), what Cycles does with each new sample is like we were increasing the value of X in said function. However, we are able to notice this asymptotic pattern on this funciton, so we know that at an hypotethical point at infinite, the value of Y will be 0. Can a computer learn how to notice these kind of convergent asymptotic patterns to predict, for example, how the final render would looks like after an infinite number of samples (which would be the closest thing to perfection that we can achieve)? Of course, the more samples you allow the renderer to actually calculate, the more realistic will be the predicted final image

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