Problem Description
You are given an array of boxTypes, where each boxType is represented as [numberOfBoxes, numberOfUnitsPerBox]. You also have a truck that can carry at most truckSize boxes. The goal is to maximize the total number of units loaded onto the truck by selecting boxes in an optimal way.
Key Insights
- Sort the boxTypes based on numberOfUnitsPerBox in descending order.
- Greedily choose boxes with the highest units first.
- Stop once the truck is full (i.e., truckSize boxes are loaded).
Space and Time Complexity
Time Complexity: O(n log n) due to sorting, where n is the number of box types.
Space Complexity: O(1) if sorting is done in-place (excluding output storage).
Solution
The solution involves using a greedy algorithm. First, sort the boxTypes by the number of units per box in descending order. Then, iterate through the sorted list and at each step, decide how many boxes to take from the current box type. If the truck can accommodate all boxes of that type, take them; otherwise, take only as many boxes as can fit. Continue until the truck is full. The main data structure used is the list/array for storing box types, and the primary operation is sorting.