How can I analyze the performance of my algorithm?
You can analyze algorithm performance by measuring time complexity, space complexity, and conducting empirical tests.
What tools can I use for empirical testing?
You can use profiling tools like cProfile for Python, or benchmarking libraries like Google Benchmark for C++.
What is time complexity and why is it important?
Time complexity measures the amount of time an algorithm takes to complete as a function of the input size, which helps in comparing efficiency.
Can you give me an example of calculating time complexity?
Sure! For a simple loop that runs 'n' times, the time complexity is O(n), meaning it scales linearly with input size.
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