The article discusses strategies for efficiently generating combinations from two datasets, d1 and d2. When encountering extra data d2 after working with the initial data d1, instead of reprocessing all previous combinations, the emphasis is on generating only the new combinations that include elements from d2. This avoids redundancy and reduces processing time. The article suggests using sets to manage unordered data and emphasizes the importance of patterns in combinations, particularly focusing on new data without the need to store previously computed results.
Extra data should mean generating new combinations efficiently, reusing earlier work without storing previous combinations.
Using combinatorial logic, we can focus on newly added items to minimize redundant work and leverage previously computed combinations.
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