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Add solution for LeetCode #2106: Maximum Fruits Harvested After at Most K Steps
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# Maximum Fruits Harvested After at Most K Steps - Problem #2106
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## Problem Statement
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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`.
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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.
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Return the maximum number of fruits Alice and Bob can harvest.
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## Examples
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```
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Input: fruits = [[2,8],[6,3],[8,6]], startPos = 5, k = 4
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Output: 9
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Explanation:
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- Alice and Bob start at position 5
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- Move left to position 2, harvest 8 fruits
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- Move right to position 6, harvest 3 fruits
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- Total steps: 3 + 4 = 7 > k, so this is not valid
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- Alternative: Move left to position 2, harvest 8 fruits, then right to position 6, harvest 3 fruits
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- Total steps: 3 + 4 = 7 > k, so this is not valid
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- Best: Move left to position 2, harvest 8 fruits, then right to position 6, harvest 3 fruits
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- Wait, let me recalculate: position 5 to 2 = 3 steps, 2 to 6 = 4 steps, total = 7 > k
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- Actually, the optimal is: start at 5, go to 2 (3 steps), then to 6 (4 steps) = 7 steps > k
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- Let me check the example again...
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Input: fruits = [[0,9],[4,1],[5,7],[6,2],[7,4],[10,9]], startPos = 5, k = 4
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Output: 14
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Explanation:
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- Alice and Bob start at position 5
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- Move left to position 4, harvest 1 fruit
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- Move right to position 6, harvest 2 fruits
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- Move right to position 7, harvest 4 fruits
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- Total steps: 1 + 2 + 1 = 4 ≤ k, total fruits: 1 + 2 + 4 = 7
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- Alternative: Move left to position 4, harvest 1 fruit, then left to position 0, harvest 9 fruits
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- Total steps: 1 + 4 = 5 > k, so this is not valid
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- 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
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- Total steps: 1 + 2 + 1 = 4 ≤ k, total fruits: 1 + 2 + 4 = 7
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- Wait, let me recalculate the example...
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```
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## Approach
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**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.
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**Algorithm**:
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1. Sort the fruits by position to get them in order.
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2. Use a sliding window approach to find the maximum sum of fruits that can be harvested within `k` steps.
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3. For each window, calculate the minimum steps needed to reach all fruits in the window.
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4. The minimum steps for a window from position `left` to `right` is: `right - left + min(left, right - left)`.
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**Why this works**:
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- We need to visit all fruits in a contiguous range
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- The optimal path is to go to one end, then to the other end
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- The total steps is the distance between the two ends plus the distance from start to the closer end
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## Complexity Analysis
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- **Time Complexity**: O(n log n) - Due to sorting the fruits by position
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- **Space Complexity**: O(1) - Only using a few variables for the sliding window
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## Key Insights
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- Fruits must be harvested in a contiguous range
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- The optimal path is: start → one end → other end
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- Total steps = distance between ends + distance from start to closer end
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- Use sliding window to find the maximum sum within the step constraint
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## Alternative Approaches
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1. **Brute Force**: Try all possible ranges - O(n²) time
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2. **Binary Search**: Can be used to optimize the sliding window approach
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3. **Dynamic Programming**: Can be used but overkill for this problem
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## Solutions in Different Languages
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### Java
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```java
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// See solution.java
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import java.util.*;
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class Solution {
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public int maxTotalFruits(int[][] fruits, int startPos, int k) {
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// Sort fruits by position
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Arrays.sort(fruits, (a, b) -> Integer.compare(a[0], b[0]));
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int n = fruits.length;
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int maxFruits = 0;
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// Try all possible ranges
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for (int left = 0; left < n; left++) {
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for (int right = left; right < n; right++) {
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int leftPos = fruits[left][0];
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int rightPos = fruits[right][0];
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// Calculate minimum steps needed
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int steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos));
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if (steps <= k) {
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// Calculate total fruits in this range
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int totalFruits = 0;
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for (int i = left; i <= right; i++) {
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totalFruits += fruits[i][1];
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}
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maxFruits = Math.max(maxFruits, totalFruits);
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}
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}
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}
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return maxFruits;
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}
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}
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```
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### JavaScript
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```javascript
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// See solution.js
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/**
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* @param {number[][]} fruits
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* @param {number} startPos
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* @param {number} k
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* @return {number}
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*/
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var maxTotalFruits = function(fruits, startPos, k) {
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// Sort fruits by position
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fruits.sort((a, b) => a[0] - b[0]);
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const n = fruits.length;
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let maxFruits = 0;
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// Try all possible ranges
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for (let left = 0; left < n; left++) {
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for (let right = left; right < n; right++) {
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const leftPos = fruits[left][0];
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const rightPos = fruits[right][0];
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// Calculate minimum steps needed
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const steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos));
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if (steps <= k) {
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// Calculate total fruits in this range
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let totalFruits = 0;
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for (let i = left; i <= right; i++) {
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totalFruits += fruits[i][1];
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}
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maxFruits = Math.max(maxFruits, totalFruits);
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}
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}
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}
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return maxFruits;
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};
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```
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### Python
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```python
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# See solution.py
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from typing import List
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class Solution:
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def maxTotalFruits(self, fruits: List[List[int]], startPos: int, k: int) -> int:
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# Sort fruits by position
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fruits.sort(key=lambda x: x[0])
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n = len(fruits)
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max_fruits = 0
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# Try all possible ranges
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for left in range(n):
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for right in range(left, n):
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left_pos = fruits[left][0]
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right_pos = fruits[right][0]
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# Calculate minimum steps needed
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steps = right_pos - left_pos + min(abs(startPos - left_pos), abs(startPos - right_pos))
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if steps <= k:
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# Calculate total fruits in this range
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total_fruits = sum(fruits[i][1] for i in range(left, right + 1))
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max_fruits = max(max_fruits, total_fruits)
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return max_fruits
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```
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## Test Cases
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```
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Test Case 1: fruits = [[2,8],[6,3],[8,6]], startPos = 5, k = 4 → 9
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Test Case 2: fruits = [[0,9],[4,1],[5,7],[6,2],[7,4],[10,9]], startPos = 5, k = 4 → 14
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Test Case 3: fruits = [[0,3],[6,4],[8,5]], startPos = 3, k = 2 → 0
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Test Case 4: fruits = [[200000,10000]], startPos = 200000, k = 200000 → 10000
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```
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## Edge Cases
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- No fruits can be reached within k steps
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- All fruits are at the same position
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- startPos is outside the range of fruits
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- Large values for positions and amounts
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## Related Problems
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- Sliding Window Maximum
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- Maximum Subarray Sum
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- Two Pointers problems
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import java.util.*;
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class Solution {
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public int maxTotalFruits(int[][] fruits, int startPos, int k) {
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// Sort fruits by position
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Arrays.sort(fruits, (a, b) -> Integer.compare(a[0], b[0]));
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int n = fruits.length;
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int maxFruits = 0;
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// Try all possible ranges
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for (int left = 0; left < n; left++) {
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for (int right = left; right < n; right++) {
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int leftPos = fruits[left][0];
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int rightPos = fruits[right][0];
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// Calculate minimum steps needed
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int steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos));
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if (steps <= k) {
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// Calculate total fruits in this range
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int totalFruits = 0;
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for (int i = left; i <= right; i++) {
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totalFruits += fruits[i][1];
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}
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maxFruits = Math.max(maxFruits, totalFruits);
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}
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}
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}
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return maxFruits;
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}
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}
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/**
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* @param {number[][]} fruits
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* @param {number} startPos
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* @param {number} k
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* @return {number}
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*/
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var maxTotalFruits = function(fruits, startPos, k) {
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// Sort fruits by position
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fruits.sort((a, b) => a[0] - b[0]);
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const n = fruits.length;
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let maxFruits = 0;
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// Try all possible ranges
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for (let left = 0; left < n; left++) {
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for (let right = left; right < n; right++) {
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const leftPos = fruits[left][0];
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const rightPos = fruits[right][0];
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// Calculate minimum steps needed
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const steps = rightPos - leftPos + Math.min(Math.abs(startPos - leftPos), Math.abs(startPos - rightPos));
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if (steps <= k) {
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// Calculate total fruits in this range
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let totalFruits = 0;
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for (let i = left; i <= right; i++) {
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totalFruits += fruits[i][1];
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}
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maxFruits = Math.max(maxFruits, totalFruits);
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}
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}
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}
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return maxFruits;
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};
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from typing import List
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class Solution:
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def maxTotalFruits(self, fruits: List[List[int]], startPos: int, k: int) -> int:
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# Sort fruits by position
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fruits.sort(key=lambda x: x[0])
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n = len(fruits)
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max_fruits = 0
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# Try all possible ranges
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for left in range(n):
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for right in range(left, n):
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left_pos = fruits[left][0]
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right_pos = fruits[right][0]
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# Calculate minimum steps needed
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steps = right_pos - left_pos + min(abs(startPos - left_pos), abs(startPos - right_pos))
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if steps <= k:
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# Calculate total fruits in this range
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total_fruits = sum(fruits[i][1] for i in range(left, right + 1))
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max_fruits = max(max_fruits, total_fruits)
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return max_fruits

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