What considerations greatly influence the design of an algorithm to solve a problem? Design Considerations of Algorithms

Algorithm Design Ideas

To achieve the desired outcomes, you must consider several design factors when designing an algorithm. It is essential to first understand the problem and set clear goals (Givelan & Kaifa 2020). After defining the goals, you need to choose the right programming language and data structure for the implementation of the algorithm (Sokolova & Zahan, 2016).   It is also important to optimize and analyze the complexity of the algorithm in order to achieve an efficient solution. al, 2019). Additionally, consider whether the selected algorithm is feasible in terms of time and memory limitations (Sawant. al, 2020). The robustness of an algorithm must be assessed to make sure it works under every circumstance (Atkinson and. al, 2015). It is crucial to assess the exactness of the solution in order to make sure it fulfills the needs of the problem.  The proper design of an algorithm requires consideration of many elements, including the programming language used, the data structure, the runtime complexity, the memory constraints, the robustness of the solution, as well as other factors such as: the right programming language; the best database schema, the optimal running time complexity, the maximum amount of memory restrictions, the accuracy of the solution, and the reliability of it.   References   Atkinson, G. C., Plamondon, R., Boies, S., & Brown, C. (2015). Optimization-based approaches to algorithmic efficiency and optimization-basedheuristics in pattern recognition and image processing. Journal of Electronic Imaging 24, 3, 031001.  Givelan, M., & Kaifa, H. (2020). Survey on how to choose the right algorithm design in Big Data. International Journal of Computers and Applications 41(4): 163-170.  Sawant, D. M., Atra, M. F. A., & Vyas, S. (2020). Study on the use of different classification algorithms to accurately predict heart disease. International Journal of Clinical and Experimental Physiology, 7(2), 43–50.  Sokolova, M., & Zahan, S. (2016). Survey to assess the quality of classification algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 46(2): 396-416.  Yousuf, M., Shafiq, S., & Muhammad, S. (2019). An analysis of the complexity of sorting algorithms: A study. Journal of Engineering and Applied Sciences 14(23), 8094 to8099.

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