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Grokking the Coding Interview Patterns in Python

Boats to Save People

Explore how to apply greedy algorithms to optimize evacuation by minimizing boats needed to save people given weight limits and capacity constraints. Understand problem constraints, use strategic pairing techniques, and implement solutions to optimize resource usage in rescue scenarios.

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Statement

A big ship with numerous passengers is sinking, and there is a need to evacuate these people with the minimum number of life-saving boats. Each boat can carry, at most, two persons however, the weight of the people cannot exceed the carrying weight limit of the boat.

We are given an array, people, where people[i] is the weight of the ithi^{th} person, and an infinite number of boats, where each ...