Time characteristics estimate of data structures at the project level
DOI:
https://doi.org/10.15587/1729-4061.2014.20110Keywords:
data structure, computational complexity, efficiency, data operations, probability, indicatorsAbstract
The approaches to estimating temporal properties of data structures without executing the program have been considered in the paper. Temporal properties of data structures take into account the total time of data access operations during the algorithm execution. The paper considers the following approaches: direct analysis of the algorithm and a probabilistic computation of operations.
The method for determining the computational complexity of algorithms has been adapted in relation to data structures. The computational complexity of data structures is defined as the computational complexity of the combination of data processing algorithms (operations). This method should be used in programs with processing large amounts of data or with a repetitive processing.
The example of the probabilistic method of calculating operations for solving problems of the development of efficient data structures is given. The performance evaluation of data access operations for alternative data structures is given in the paper. The evaluation of the computational complexity of the operations is carried out using combinatorial and probabilistic approaches. The obtained results are used for selecting optimal data structures.
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