The Optimization Path of Computational Efficiency Based on Algorithm Complexity Theory

DOI: https://doi.org/10.62517/jbdc.202601121

Author(s)

Bei Nan

Affiliation(s)

Department of School of Engineering, University of Edinburgh, Edinburgh, United Kingdom *Corresponding Author

Abstract

This article mainly talks about how the algorithm complexity theory can help us optimize the computational efficiency. First of all, we will explain the basic meaning of algorithm complexity theory, including the two core concepts of time complexity and space complexity, and why they are important. Then we will analyze the significance and difficulties of improving computing efficiency in the digital age. Next, the article will explain in detail how the algorithm complexity theory theoretically provides basic support for optimizing computational efficiency, such as helping us see the essence of the problem clearly and quantitatively evaluating computational resources. After that, we will discuss the specific methods to optimize the computational efficiency when applying this theory, including its application strategies in different fields and the optimization opportunities brought by cross-domain integration. Finally, the paper will look forward to the development of algorithm complexity theory in optimizing computational efficiency in the future, hoping to provide a comprehensive and in-depth theoretical reference for improving computational efficiency.

Keywords

Algorithm Complexity Theory; Computational Efficiency; Optimize the Path; Theoretical Support; Application Strategy

References

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