How can I optimize an algorithm for better performance?
To optimize an algorithm, you can analyze its time and space complexity, and look for ways to reduce them.
What are some common techniques for optimization?
Common techniques include using efficient data structures, reducing the number of operations, and applying memoization.
Can you explain memoization?
Memoization is a technique where you store the results of expensive function calls and return the cached result when the same inputs occur again.
Are there tools to help with algorithm optimization?
Yes, tools like profilers can help identify bottlenecks in your code, and libraries like NumPy can optimize numerical computations.
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