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In the context of advanced analytics and machine learning, what does "distributed optimization" typically involve? A) Solving optimization problems using a single, centralized computing resource B) Spreading the computational tasks involved in optimization across multiple machines or processors to improve efficiency and handle large-scale problems C) Analyzing historical data using a non-quantitative approach D) Creating detailed, manual calculations for optimization problems
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