What are the best practices for algorithm design?

What are the best practices for algorithm design?

Some best practices include understanding the problem, defining clear objectives, and considering time and space complexity.

Can you explain why time and space complexity are important?

Time complexity helps evaluate how the algorithm's runtime grows with input size, while space complexity assesses memory usage.

What techniques can I use to optimize my algorithms?

You can use techniques like memoization, dynamic programming, and choosing the right data structures to optimize performance.

Are there any common pitfalls to avoid in algorithm design?

Yes, common pitfalls include overcomplicating solutions, neglecting edge cases, and failing to analyze performance.