This article is missing information about truly self-referential (encodes and prints the large number) versions in Tupper 2007 "selfplot" and Jakob Trávnik 2011. Please expand the article to include this information. Further details may exist on the talk page. (October 2021) Tupper's self-referential formula is a formula that visually represents itself when graphed at a specific location in the (x
In numerical analysis, the Kahan summation algorithm, also known as compensated summation,[1] significantly reduces the numerical error in the total obtained by adding a sequence of finite-precision floating-point numbers, compared to the obvious approach. This is done by keeping a separate running compensation (a variable to accumulate small errors), in effect extending the precision of the sum b
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