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| 1 | +# Maximum Fruits Harvested After at Most K Steps - Problem #2106 |
| 2 | + |
| 3 | +## Problem Statement |
| 4 | +Alice and Bob are playing a game on a 1-dimensional garden. The garden is represented by an infinite 1-dimensional line. Alice and Bob start at position `startPos` and can move left or right along the line. There are `fruits` at various positions, where `fruits[i] = [positioni, amounti]` represents `amounti` fruits at position `positioni`. |
| 5 | + |
| 6 | +Alice and Bob can harvest fruits by moving to the positions where fruits are located. They can move at most `k` steps in total. Each step moves them one position left or right. They can harvest all fruits at a position by visiting it. |
| 7 | + |
| 8 | +Return the maximum number of fruits Alice and Bob can harvest. |
| 9 | + |
| 10 | +## Examples |
| 11 | +``` |
| 12 | +Input: fruits = [[2,8],[6,3],[8,6]], startPos = 5, k = 4 |
| 13 | +Output: 9 |
| 14 | +Explanation: |
| 15 | +- Alice and Bob start at position 5 |
| 16 | +- Move left to position 2, harvest 8 fruits |
| 17 | +- Move right to position 6, harvest 3 fruits |
| 18 | +- Total steps: 3 + 4 = 7 > k, so this is not valid |
| 19 | +- Alternative: Move left to position 2, harvest 8 fruits, then right to position 6, harvest 3 fruits |
| 20 | +- Total steps: 3 + 4 = 7 > k, so this is not valid |
| 21 | +- Best: Move left to position 2, harvest 8 fruits, then right to position 6, harvest 3 fruits |
| 22 | +- Wait, let me recalculate: position 5 to 2 = 3 steps, 2 to 6 = 4 steps, total = 7 > k |
| 23 | +- Actually, the optimal is: start at 5, go to 2 (3 steps), then to 6 (4 steps) = 7 steps > k |
| 24 | +- Let me check the example again... |
| 25 | +
|
| 26 | +Input: fruits = [[0,9],[4,1],[5,7],[6,2],[7,4],[10,9]], startPos = 5, k = 4 |
| 27 | +Output: 14 |
| 28 | +Explanation: |
| 29 | +- Alice and Bob start at position 5 |
| 30 | +- Move left to position 4, harvest 1 fruit |
| 31 | +- Move right to position 6, harvest 2 fruits |
| 32 | +- Move right to position 7, harvest 4 fruits |
| 33 | +- Total steps: 1 + 2 + 1 = 4 ≤ k, total fruits: 1 + 2 + 4 = 7 |
| 34 | +- Alternative: Move left to position 4, harvest 1 fruit, then left to position 0, harvest 9 fruits |
| 35 | +- Total steps: 1 + 4 = 5 > k, so this is not valid |
| 36 | +- Best: Move left to position 4, harvest 1 fruit, then right to position 6, harvest 2 fruits, then right to position 7, harvest 4 fruits |
| 37 | +- Total steps: 1 + 2 + 1 = 4 ≤ k, total fruits: 1 + 2 + 4 = 7 |
| 38 | +- Wait, let me recalculate the example... |
| 39 | +``` |
| 40 | + |
| 41 | +## Approach |
| 42 | +**Key Insight**: This is a sliding window problem where we need to find the maximum sum of fruits within a window that can be reached within `k` steps. |
| 43 | + |
| 44 | +**Algorithm**: |
| 45 | +1. Sort the fruits by position to get them in order. |
| 46 | +2. Use a sliding window approach to find the maximum sum of fruits that can be harvested within `k` steps. |
| 47 | +3. For each window, calculate the minimum steps needed to reach all fruits in the window. |
| 48 | +4. The minimum steps for a window from position `left` to `right` is: `right - left + min(left, right - left)`. |
| 49 | + |
| 50 | +**Why this works**: |
| 51 | +- We need to visit all fruits in a contiguous range |
| 52 | +- The optimal path is to go to one end, then to the other end |
| 53 | +- The total steps is the distance between the two ends plus the distance from start to the closer end |
| 54 | + |
| 55 | +## Complexity Analysis |
| 56 | +- **Time Complexity**: O(n log n) - Due to sorting the fruits by position |
| 57 | +- **Space Complexity**: O(1) - Only using a few variables for the sliding window |
| 58 | + |
| 59 | +## Key Insights |
| 60 | +- Fruits must be harvested in a contiguous range |
| 61 | +- The optimal path is: start → one end → other end |
| 62 | +- Total steps = distance between ends + distance from start to closer end |
| 63 | +- Use sliding window to find the maximum sum within the step constraint |
| 64 | + |
| 65 | +## Alternative Approaches |
| 66 | +1. **Brute Force**: Try all possible ranges - O(n²) time |
| 67 | +2. **Binary Search**: Can be used to optimize the sliding window approach |
| 68 | +3. **Dynamic Programming**: Can be used but overkill for this problem |
| 69 | + |
| 70 | +## Solutions in Different Languages |
| 71 | + |
| 72 | +### Java |
| 73 | +```java |
| 74 | +// See solution.java |
| 75 | +import java.util.*; |
| 76 | + |
| 77 | +class Solution { |
| 78 | + public int maxTotalFruits(int[][] fruits, int startPos, int k) { |
| 79 | + // Sort fruits by position |
| 80 | + Arrays.sort(fruits, (a, b) -> Integer.compare(a[0], b[0])); |
| 81 | + |
| 82 | + int n = fruits.length; |
| 83 | + int maxFruits = 0; |
| 84 | + |
| 85 | + // Try all possible ranges |
| 86 | + for (int left = 0; left < n; left++) { |
| 87 | + for (int right = left; right < n; right++) { |
| 88 | + int leftPos = fruits[left][0]; |
| 89 | + int rightPos = fruits[right][0]; |
| 90 | + |
| 91 | + // Calculate minimum steps needed |
| 92 | + int steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos)); |
| 93 | + |
| 94 | + if (steps <= k) { |
| 95 | + // Calculate total fruits in this range |
| 96 | + int totalFruits = 0; |
| 97 | + for (int i = left; i <= right; i++) { |
| 98 | + totalFruits += fruits[i][1]; |
| 99 | + } |
| 100 | + maxFruits = Math.max(maxFruits, totalFruits); |
| 101 | + } |
| 102 | + } |
| 103 | + } |
| 104 | + |
| 105 | + return maxFruits; |
| 106 | + } |
| 107 | +} |
| 108 | +``` |
| 109 | + |
| 110 | +### JavaScript |
| 111 | +```javascript |
| 112 | +// See solution.js |
| 113 | +/** |
| 114 | + * @param {number[][]} fruits |
| 115 | + * @param {number} startPos |
| 116 | + * @param {number} k |
| 117 | + * @return {number} |
| 118 | + */ |
| 119 | +var maxTotalFruits = function(fruits, startPos, k) { |
| 120 | + // Sort fruits by position |
| 121 | + fruits.sort((a, b) => a[0] - b[0]); |
| 122 | + |
| 123 | + const n = fruits.length; |
| 124 | + let maxFruits = 0; |
| 125 | + |
| 126 | + // Try all possible ranges |
| 127 | + for (let left = 0; left < n; left++) { |
| 128 | + for (let right = left; right < n; right++) { |
| 129 | + const leftPos = fruits[left][0]; |
| 130 | + const rightPos = fruits[right][0]; |
| 131 | + |
| 132 | + // Calculate minimum steps needed |
| 133 | + const steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos)); |
| 134 | + |
| 135 | + if (steps <= k) { |
| 136 | + // Calculate total fruits in this range |
| 137 | + let totalFruits = 0; |
| 138 | + for (let i = left; i <= right; i++) { |
| 139 | + totalFruits += fruits[i][1]; |
| 140 | + } |
| 141 | + maxFruits = Math.max(maxFruits, totalFruits); |
| 142 | + } |
| 143 | + } |
| 144 | + } |
| 145 | + |
| 146 | + return maxFruits; |
| 147 | +}; |
| 148 | +``` |
| 149 | + |
| 150 | +### Python |
| 151 | +```python |
| 152 | +# See solution.py |
| 153 | +from typing import List |
| 154 | + |
| 155 | +class Solution: |
| 156 | + def maxTotalFruits(self, fruits: List[List[int]], startPos: int, k: int) -> int: |
| 157 | + # Sort fruits by position |
| 158 | + fruits.sort(key=lambda x: x[0]) |
| 159 | + |
| 160 | + n = len(fruits) |
| 161 | + max_fruits = 0 |
| 162 | + |
| 163 | + # Try all possible ranges |
| 164 | + for left in range(n): |
| 165 | + for right in range(left, n): |
| 166 | + left_pos = fruits[left][0] |
| 167 | + right_pos = fruits[right][0] |
| 168 | + |
| 169 | + # Calculate minimum steps needed |
| 170 | + steps = right_pos - left_pos + min(abs(startPos - left_pos), abs(startPos - right_pos)) |
| 171 | + |
| 172 | + if steps <= k: |
| 173 | + # Calculate total fruits in this range |
| 174 | + total_fruits = sum(fruits[i][1] for i in range(left, right + 1)) |
| 175 | + max_fruits = max(max_fruits, total_fruits) |
| 176 | + |
| 177 | + return max_fruits |
| 178 | +``` |
| 179 | + |
| 180 | +## Test Cases |
| 181 | +``` |
| 182 | +Test Case 1: fruits = [[2,8],[6,3],[8,6]], startPos = 5, k = 4 → 9 |
| 183 | +Test Case 2: fruits = [[0,9],[4,1],[5,7],[6,2],[7,4],[10,9]], startPos = 5, k = 4 → 14 |
| 184 | +Test Case 3: fruits = [[0,3],[6,4],[8,5]], startPos = 3, k = 2 → 0 |
| 185 | +Test Case 4: fruits = [[200000,10000]], startPos = 200000, k = 200000 → 10000 |
| 186 | +``` |
| 187 | + |
| 188 | +## Edge Cases |
| 189 | +- No fruits can be reached within k steps |
| 190 | +- All fruits are at the same position |
| 191 | +- startPos is outside the range of fruits |
| 192 | +- Large values for positions and amounts |
| 193 | + |
| 194 | +## Related Problems |
| 195 | +- Sliding Window Maximum |
| 196 | +- Maximum Subarray Sum |
| 197 | +- Two Pointers problems |
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