For complex problems that can be broken down into smaller parts, linear recursion usually works much better.

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Linear recursion can be less efficient for complex problems that can be broken down into smaller parts because it might involve repetitive calculations. Divide-and-conquer strategies, such as those used in binary recursion, are often more effective for these types of problems as they split the problem into smaller, more manageable parts, solving each part once and combining the results.

For Complex Problems That Can Be Broken Down into Smaller