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Frequently Asked Questions
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What is recursion, and when should I use it?
Recursion is when a function calls itself to solve a problem. It's useful for problems that can be broken down into smaller subproblems.
Recursion is a programming technique where a function calls itself to solve a problem. It's particularly useful for problems that can be broken down into smaller, similar subproblems, like the Fibonacci sequence, factorial calculation, or tree traversal. Recursive solutions are often easier to write and understand than their iterative counterparts, but they can lead to inefficiencies if not optimized with techniques like memoization. One downside of recursion is the risk of hitting the recursion depth limit or causing a stack overflow, so it’s important to ensure that the recursion has a base case to stop it from running indefinitely.
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Why do I see 'Username not recognized' when authenticating GitHub via command line?
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What are some effective strategies for problem analysis in competitive programming?
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How can I prepare for dynamic programming (DP) problems in competitive programming?
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What are some strategies for reducing runtime in competitive programming solutions?
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What is the two-pointer technique and how is it applied in competitive programming?
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What is dynamic programming, and how can it be applied in competitive programming?
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