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Amortized computational complexity. (English) Zbl 0599.68046
A powerful technique in the complexity analysis of data structures is amortization, or averaging over time. Amortized running time is a realistic but robust complexity measure for which we can obtain surprisingly tight upper and lower bounds on a variety of algorithms. By following the principle of designing algorithms whose amortized complexity is low, we obtain ”self-adjusting” data structures that are simple, flexible and efficient. This paper surveys recent work by several researchers on amortized complexity.

MSC:
68Q25 Analysis of algorithms and problem complexity
68P10 Searching and sorting
68-02 Research exposition (monographs, survey articles) pertaining to computer science
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