871. Minimum Number of Refueling Stops LeetCode Solution

In this guide, you will get 871. Minimum Number of Refueling Stops LeetCode Solution with the best time and space complexity. The solution to Minimum Number of Refueling Stops problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.

Table of Contents

  1. Problem Statement
  2. Complexity Analysis
  3. Minimum Number of Refueling Stops solution in C++
  4. Minimum Number of Refueling Stops solution in Java
  5. Minimum Number of Refueling Stops solution in Python
  6. Additional Resources
871. Minimum Number of Refueling Stops LeetCode Solution image

Problem Statement of Minimum Number of Refueling Stops

A car travels from a starting position to a destination which is target miles east of the starting position.
There are gas stations along the way. The gas stations are represented as an array stations where stations[i] = [positioni, fueli] indicates that the ith gas station is positioni miles east of the starting position and has fueli liters of gas.
The car starts with an infinite tank of gas, which initially has startFuel liters of fuel in it. It uses one liter of gas per one mile that it drives. When the car reaches a gas station, it may stop and refuel, transferring all the gas from the station into the car.
Return the minimum number of refueling stops the car must make in order to reach its destination. If it cannot reach the destination, return -1.
Note that if the car reaches a gas station with 0 fuel left, the car can still refuel there. If the car reaches the destination with 0 fuel left, it is still considered to have arrived.

See also  1187. Make Array Strictly Increasing LeetCode Solution

Example 1:

Input: target = 1, startFuel = 1, stations = []
Output: 0
Explanation: We can reach the target without refueling.

Example 2:

Input: target = 100, startFuel = 1, stations = [[10,100]]
Output: -1
Explanation: We can not reach the target (or even the first gas station).

Example 3:

Input: target = 100, startFuel = 10, stations = [[10,60],[20,30],[30,30],[60,40]]
Output: 2
Explanation: We start with 10 liters of fuel.
We drive to position 10, expending 10 liters of fuel. We refuel from 0 liters to 60 liters of gas.
Then, we drive from position 10 to position 60 (expending 50 liters of fuel),
and refuel from 10 liters to 50 liters of gas. We then drive to and reach the target.
We made 2 refueling stops along the way, so we return 2.

Constraints:

1 <= target, startFuel <= 109
0 <= stations.length <= 500
1 <= positioni < positioni+1 < target
1 <= fueli < 109

Complexity Analysis

  • Time Complexity: O(n^2)
  • Space Complexity: O(n)

871. Minimum Number of Refueling Stops LeetCode Solution in C++

class Solution {
 public:
  int minRefuelStops(int target, int startFuel, vector<vector<int>>& stations) {
    // dp[i] := the farthest position we can reach with i refuels
    vector<long> dp(stations.size() + 1);
    dp[0] = startFuel;

    for (int i = 0; i < stations.size(); ++i)
      for (int j = i + 1; j > 0; --j)
        if (dp[j - 1] >= stations[i][0])
          dp[j] = max(dp[j], dp[j - 1] + stations[i][1]);

    for (int i = 0; i < dp.size(); ++i)
      if (dp[i] >= target)
        return i;

    return -1;
  }
};
/* code provided by PROGIEZ */

871. Minimum Number of Refueling Stops LeetCode Solution in Java

class Solution {
  public int minRefuelStops(int target, int startFuel, int[][] stations) {
    // dp[i] := the farthest position we can reach with i refuels
    long dp[] = new long[stations.length + 1];
    dp[0] = startFuel;

    for (int i = 0; i < stations.length; ++i)
      for (int j = i + 1; j > 0; --j)
        if (dp[j - 1] >= stations[i][0])
          dp[j] = Math.max(dp[j], dp[j - 1] + stations[i][1]);

    for (int i = 0; i < dp.length; ++i)
      if (dp[i] >= target)
        return i;

    return -1;
  }
}
// code provided by PROGIEZ

871. Minimum Number of Refueling Stops LeetCode Solution in Python

class Solution:
  def minRefuelStops(
      self,
      target: int,
      startFuel: int,
      stations: list[list[int]],
  ) -> int:
    # dp[i] := the farthest position we can reach w / i refuels
    dp = [startFuel] + [0] * len(stations)

    for i, station in enumerate(stations):
      for j in range(i + 1, 0, -1):
        if dp[j - 1] >= station[0]:
          dp[j] = max(dp[j], dp[j - 1] + station[1])

    for i, d in enumerate(dp):
      if d >= target:
        return i

    return -1
# code by PROGIEZ

Additional Resources

See also  590. N-ary Tree Postorder Traversal LeetCode Solution

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