Time Needed to Inform All Employees – Leetcode [TREE, DFS]

A company has n employees with a unique ID for each employee from 0 to n - 1. The head of the company is the one with headID.

Each employee has one direct manager given in the manager array where manager[i] is the direct manager of the i-th employee, manager[headID] = -1. Also, it is guaranteed that the subordination relationships have a tree structure.

The head of the company wants to inform all the company employees of an urgent piece of news. He will inform his direct subordinates, and they will inform their subordinates, and so on until all employees know about the urgent news.

The i-th employee needs informTime[i] minutes to inform all of his direct subordinates (i.e., After informTime[i] minutes, all his direct subordinates can start spreading the news).

Return the number of minutes needed to inform all the employees about the urgent news.

Example 1:

Input: n = 1, headID = 0, manager = [-1], informTime = [0]
Output: 0
Explanation: The head of the company is the only employee in the company.

Example 2:

Input: n = 6, headID = 2, manager = [2,2,-1,2,2,2], informTime = [0,0,1,0,0,0]
Output: 1
Explanation: The head of the company with id = 2 is the direct manager of all the employees in the company and needs 1 minute to inform them all.
The tree structure of the employees in the company is shown.

Example 3:

Input: n = 7, headID = 6, manager = [1,2,3,4,5,6,-1], informTime = [0,6,5,4,3,2,1]
Output: 21
Explanation: The head has id = 6. He will inform employee with id = 5 in 1 minute.
The employee with id = 5 will inform the employee with id = 4 in 2 minutes.
The employee with id = 4 will inform the employee with id = 3 in 3 minutes.
The employee with id = 3 will inform the employee with id = 2 in 4 minutes.
The employee with id = 2 will inform the employee with id = 1 in 5 minutes.
The employee with id = 1 will inform the employee with id = 0 in 6 minutes.
Needed time = 1 + 2 + 3 + 4 + 5 + 6 = 21.

Example 4:

Input: n = 15, headID = 0, manager = [-1,0,0,1,1,2,2,3,3,4,4,5,5,6,6], informTime = [1,1,1,1,1,1,1,0,0,0,0,0,0,0,0]
Output: 3
Explanation: The first minute the head will inform employees 1 and 2.
The second minute they will inform employees 3, 4, 5 and 6.
The third minute they will inform the rest of employees.

Example 5:

Input: n = 4, headID = 2, manager = [3,3,-1,2], informTime = [0,0,162,914]
Output: 1076

Constraints:

  • 1 <= n <= 105
  • 0 <= headID < n
  • manager.length == n
  • 0 <= manager[i] < n
  • manager[headID] == -1
  • informTime.length == n
  • 0 <= informTime[i] <= 1000
  • informTime[i] == 0 if employee i has no subordinates.
  • It is guaranteed that all the employees can be informed.

Solution

Since we already have details of the manager in the manager array we can recursively call it’s parent until we reach to the root or head and find the maximum value.

RECURSIVE SOLUTION

class Solution {
    public int numOfMinutes(
        int n, 
        int headID, 
        int[] manager, 
        int[] informTime
    ) {
        int maxTime = 0;
        for(int i = 0; i < n; i++) {
            int time = timeForInfo(i, manager, informTime);
            if(maxTime < time) maxTime = time;
        }
        
        return maxTime;
    }
    
    public int timeForInfo(
        int id, 
        int[] manager, 
        int[] informTime
    ) {
        if(id == -1) return 0;
        return informTime[id] + timeForInfo(manager[id], manager, informTime);
    }   
}

DYNAMIC PROGRAMMING (MEMOIZATION)

class Solution {
    public int numOfMinutes(
        int n, 
        int headID, 
        int[] manager, 
        int[] informTime
    ) {
        int maxTime = 0;
        
        // Use this array to store already computed time
        int cost[] = new int[n];
        for(int i = 0; i < n; i++) {
            cost[i] = -1;
        }
        
        // Find maximum value by traversing each employee
        for(int i = 0; i < n; i++) {
            int time = timeForInfo(i, manager, informTime, cost);
            if(maxTime < time) maxTime = time;
        }
        return maxTime;
    }
    
    // Recursively find total time to reach to an employee kind of dfs
    public int timeForInfo(
        int id, 
        int[] manager, 
        int[] informTime, 
        int[] cost
    ) {
        if(id == -1) return 0;
        if(cost[id] != -1) {
            return cost[id];
        }
        cost[id] = informTime[id] + timeForInfo(manager[id], manager, informTime, cost);
        return cost[id];
    }
}

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