Asymptotic analysis | Logarithms

Iterated logarithm

In computer science, the iterated logarithm of , written (usually read "log star"), is the number of times the logarithm function must be iteratively applied before the result is less than or equal to . The simplest formal definition is the result of this recurrence relation: On the positive real numbers, the continuous super-logarithm (inverse tetration) is essentially equivalent: i.e. the base b iterated logarithm is if n lies within the interval , where denotes tetration. However, on the negative real numbers, log-star is , whereas for positive , so the two functions differ for negative arguments. The iterated logarithm accepts any positive real number and yields an integer. Graphically, it can be understood as the number of "zig-zags" needed in Figure 1 to reach the interval on the x-axis. In computer science, lg* is often used to indicate the binary iterated logarithm, which iterates the binary logarithm (with base ) instead of the natural logarithm (with base e). Mathematically, the iterated logarithm is well-defined for any base greater than , not only for base and base e. (Wikipedia).

Iterated logarithm
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Ackermann function | NTIME | Logarithm | Positive real numbers | Tetration | Super-logarithm | DTIME | Computational resource | Delaunay triangulation | Recurrence relation | Integer | Real number | Turing machine | Digital root | Graph coloring | Time complexity | Symmetric level-index arithmetic | Persistence of a number | Iteration | Computational complexity theory | Binary logarithm | Analysis of algorithms | Euclidean minimum spanning tree