What is the optimal time and space complexity for Largest Perimeter Triangle?

The optimal approach for Largest Perimeter Triangle achieves O(N log N) time complexity and O(1) auxiliary space complexity. If nums is sorted descending: c >= b >= a. For a given c, the best chance to satisfy a + b > c is choosing the two largest remaining numbers right after c (nums[i+1] and nums[i+2]). The first one found is guaranteed to have maximal perimeter.

What are the crucial edge cases to consider for Largest Perimeter Triangle?

Always consider empty inputs, boundary constraints, single-element data structures, negative values, and integer overflow conditions before finalizing your algorithm.

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Largest Perimeter Triangle

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