Computational complexity of mathematical operations information
Algorithmic runtime requirements for common math procedures
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Graphs of functions commonly used in the analysis of algorithms, showing the number of operations versus input size for each function
The following tables list the computational complexity of various algorithms for common mathematical operations.
Here, complexity refers to the time complexity of performing computations on a multitape Turing machine.[1] See big O notation for an explanation of the notation used.
Note: Due to the variety of multiplication algorithms, below stands in for the complexity of the chosen multiplication algorithm.
^Schönhage, A.; Grotefeld, A.F.W.; Vetter, E. (1994). Fast Algorithms—A Multitape Turing Machine Implementation. BI Wissenschafts-Verlag. ISBN 978-3-411-16891-0. OCLC 897602049.
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