Divide-and-conquer algorithms are problem-solving techniques that break down a complex problem into smaller, more manageable subproblems, solve each subproblem independently, and then combine their solutions to obtain the overall solution. This approach not only simplifies problem-solving but also enhances performance optimization by effectively distributing workload, making it easier to balance resources and improve execution speed.
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