Abstract
Sorting is one of the most frequently used types of processing in computer systems. In presented approach sorting will be considered as an introduction of order into processed input task and algorithm as a physical system (responsible for computations). This analysis shows how the dependencies in processed tasks can influence the behavior of algorithm (or equivalently Turing machine). Normally, analysis of any algorithm behavior is done in terms of classical computational complexity. In this paper the rate of existence of long-term correlations in processing dynamics is calculated basing on Hurst coefficient. Slowa kluczowe: zalezności dlugoterminowe, algorytm szybkiego sortowania, wspolczynnik Hurst’a, samopodobienstwo.
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