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From our classes so far, one may conclude that there's no one - size - fits - all algorithm design paradigm, which means that it's

From our classes so far, one may conclude that there's no one-size-fits-all algorithm design paradigm, which means that it's crucial to carefully analyze the problem's nature, requirements, and constraints to select the most suitable paradigm for an efficient and effective solution. Discuss this conclusion using proper examples of problems wherea. a brute force algorithm performs better than divide and conquer algorithmb. a divide and conquer algorithm performs no better than the brute force algorithmc. a divide and conquer algorithm performs better that decrease and conquerd. a transform and conquer algorithm (problem reduction) performs better that decrease and conquere. a transform and conquer algorithm (Instance simplification) perform better than the bruteforce algorithmf. A decrease and conquer algorithm performs better than transform and conquer algorithm (Instance simplification)

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