👉 In computer science, "fastness" refers to how quickly a program or algorithm performs compared to its theoretical maximum performance. It is often used in the context of optimizing algorithms for faster execution times by reducing unnecessary calculations and improving the efficiency of data access and processing. Fastness measures can be defined based on various criteria such as time complexity (O(n)), space complexity (O(1)), worst-case time complexity (O(|X|)), best-case time complexity (O(log n)), etc. These
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What is the definition of Fastness? 🙋
👉 In computer science, "fastness" refers to a characteristic of an algorithm or data structure that affects its performance. This can be measured in terms of time complexity, space complexity, and more. The concept of "fastness" is often used in the context of algorithms that operate on large amounts of data. For example, in sorting algorithms, fastness is important because it influences how quickly an algorithm performs when dealing with larger input sizes. In other cases, such as in data structures like heaps
