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- W4200317512 abstract "Algorithms are specifications for performing calculation, data processing, automated reasoning, and other tasks. This chapter identifies examples of algorithmic thinking and write simple algorithms in pseudocode. An algorithm must be analyzed to determine its resource usage, and the efficiency of an algorithm can be quantified based on usage of different resources. Efficiency of an algorithm can be analyzed at two different stages, before implementation and after implementation. They are: a priori analysis, and a posterior analysis. Space complexity of an algorithm describes the amount of memory space needed by the algorithm in its life cycle. Time complexity of an algorithm represents the amount of time required by the algorithm to run to completion. The asymptotic analysis of an algorithm defines the mathematical framing of its run-time performance in mathematical units of computation. Flowchart is a diagrammatic representation of an algorithm. Flowchart is very helpful in writing program and explaining program to others." @default.
- W4200317512 created "2021-12-31" @default.
- W4200317512 date "2021-09-24" @default.
- W4200317512 modified "2023-10-16" @default.
- W4200317512 title "Algorithms" @default.
- W4200317512 doi "https://doi.org/10.1002/9781119674757.ch7" @default.
- W4200317512 hasPublicationYear "2021" @default.
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