Recursion is a programming technique in JavaScript where functions call themselves to solve complex problems such as traversing trees and calculating mathematical sequences. While recursion simplifies logic, improper use can lead to performance bottlenecks or stack overflows. This article highlights examples including factorial calculation and Fibonacci sequences, emphasizing the importance of understanding base cases and recursive steps. Additionally, tail recursion and memoization are discussed as strategies to optimize performance and prevent inefficiencies in recursive functions.
Recursion is a programming technique where a function calls itself, either directly or indirectly, to solve a problem.
The factorial of a number n is the product of all positive integers less than or equal to n, demonstrated through a recursive function.
Tail recursion places the recursive call as the last operation, allowing some engines (like V8) to optimize and reuse the stack frame.
Memoization stores results of previous calls to avoid redundant work, especially useful in Fibonacci-like problems.
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