divide and conquer algorithms
"Divide and conquer algorithms" is a problem-solving technique that involves breaking down a complex problem into smaller, more manageable sub-problems and solving them individually. This approach follows three steps: 1. Divide: The original problem is divided into smaller sub-problems or partitions. 2. Conquer: Each sub-problem is solved separately, either by applying the same divide and conquer approach recursively or by using a different algorithm. 3. Combine: The solutions to the sub-problems are combined to yield the final solution to the original problem. By dividing the problem and solving smaller parts, divide and conquer algorithms often offer efficient and scalable solutions, minimizing time and space complexity.
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