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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.

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