Algorithm analysis is the process of evaluating the efficiency and performance of an algorithm. It involves analyzing factors such as time complexity, space complexity, and scalability to determine how well an algorithm will perform in different scenarios.
Think of algorithm analysis like comparing different routes to get to school. You consider factors like distance, traffic, and speed limits to determine which route is the most efficient and fastest for your daily commute.
Time Complexity: This term refers to the amount of time it takes for an algorithm to run based on its input size.
Space Complexity: This term refers to the amount of memory or storage space required by an algorithm.
Scalability: This term refers to how well an algorithm can handle larger input sizes without a significant decrease in performance.
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