Efficiency of Algorithms: Best, Worst, and Average Cases
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Algorithm Analysis: Time and Space Complexity
Understanding Algorithm Performance
Algorithm analysis is crucial in computer science for understanding how an algorithm's resource consumption (time and space) scales with input size. This analysis utilizes mathematical frameworks considering various scenarios.
Worst-Case Efficiency
Worst-case efficiency describes the maximum time or space an algorithm might require for any input of size n.
Example: Linear Search
In a linear search of an unsorted array, the worst case occurs when the target element is at the end or not present. The algorithm must examine all n elements, resulting in O(n) time complexity.
Best-Case Efficiency
Best-case efficiency describes the minimum time or space an algorithm might... Continue reading "Efficiency of Algorithms: Best, Worst, and Average Cases" »