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Minimum Initial Energy Required To Cross Street

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Given an array containing positive and negative numbers. The array represents checkpoints from one end to other end of street. Positive and negative values represent amount of energy at that checkpoint. Positive numbers increase the energy and negative numbers decrease. Find the minimum initial energy required to cross the street such that Energy level never becomes 0 or less than 0.

Note : The value of minimum initial energy required will be 1 even if we cross street successfully without losing energy to less than and equal to 0 at any checkpoint. The 1 is required for initial check point.

Examples : 

Input : arr[] = {4, -10, 4, 4, 4}
Output: 7
Suppose initially we have energy = 0, now at 1st
checkpoint, we get 4. At 2nd checkpoint, energy gets
reduced by -10 so we have 4 + (-10) = -6 but at any 
checkpoint value of energy can not less than equals 
to 0. So initial energy must be at least 7 because
having 7 as initial energy value at 1st checkpoint
our energy will be = 7+4 = 11 and then we can cross 
2nd checkpoint successfully. Now after 2nd checkpoint,
all checkpoint have positive value so we can cross 
street successfully with 7 initial energy.

Input : arr[] = {3, 5, 2, 6, 1}
Output: 1
We need at least 1 initial energy to reach first
checkpoint

Input : arr[] = {-1, -5, -9}
Output: 16
Recommended Practice

Brute force approach :

  • For every possible initial energy level (starting from 1), simulate the crossing of the street using that energy level and check if the energy level remains positive at all times.
  • Return the minimum initial energy level that ensures that the energy level never becomes zero or negative.

Below is the code for above approach :

C++




#include<bits/stdc++.h>
using namespace std;
 
// Function to check if energy level never becomes negative or zero
bool check(int arr[], int n, int initEnergy) {
    int energy = initEnergy;
    for (int i = 0; i < n; i++) {
        energy += arr[i];
        if (energy <= 0) {
            return false;
        }
    }
    return true;
}
 
// Function to calculate minimum initial energy
// arr[] stores energy at each checkpoints on street
int minInitialEnergy(int arr[], int n) {
    int minEnergy = 1;
    while (!check(arr, n, minEnergy)) {
        minEnergy++;
    }
    return minEnergy;
}
 
// Driver code
int main() {
    int arr[] = {4, -10, 4, 4, 4};
    int n = sizeof(arr)/sizeof(arr[0]);
    cout << minInitialEnergy(arr, n);
    return 0;
}


Output :

7

Time Complexity : O(2^n)

Auxiliary Space : O(n)

We take initial minimum energy 0 i.e; initMinEnergy = 0 and energy at any checkpoint as currEnergy = 0. Now traverse each checkpoint linearly and add energy level at each i’th checkpoint i.e; currEnergy = currEnergy + arr[i]. If currEnergy becomes non-positive, then we need at least “abs(currEnergy) + 1” extra initial energy to cross this point. Therefore we update initMinEnergy = (initMinEnergy + abs(currEnergy) + 1). We also update currEnergy = 1 as we now have the required extra minimum initial energy for next point.

Below is the implementation of above idea. 

C++




// C++ program to find minimum initial energy to
// reach end
#include<bits/stdc++.h>
using namespace std;
 
// Function to calculate minimum initial energy
// arr[] stores energy at each checkpoints on street
int minInitialEnergy(int arr[], int n)
{
    // initMinEnergy is variable to store minimum initial
    // energy required.
    int initMinEnergy = 0;
 
    // currEnergy is variable to store current value of
    // energy at i'th checkpoint on street
    int currEnergy = 0;
 
    // flag to check if we have successfully crossed the
    // street without any energy loss <= o at any checkpoint
    bool flag = 0;
 
    // Traverse each check point linearly
    for (int i=0; i<n; i++)
    {
        currEnergy += arr[i];
 
        // If current energy, becomes negative or 0, increment
        // initial minimum energy by the negative value plus 1.
        // to keep current energy positive (at least 1). Also
        // update current energy and flag.
        if (currEnergy <= 0)
        {
            initMinEnergy += abs(currEnergy) +1;
            currEnergy = 1;
            flag = 1;
        }
    }
 
    // If energy never became negative or 0, then
    // return 1. Else return computed initMinEnergy
    return (flag == 0)? 1 : initMinEnergy;
}
 
// Driver Program to test the case
int main()
{
    int arr[] = {4, -10, 4, 4, 4};
    int n = sizeof(arr)/sizeof(arr[0]);
    cout << minInitialEnergy(arr, n);
    return 0;
}


Java




// Java program to find minimum
// initial energy to reach end
 
class GFG {
     
// Function to calculate minimum
// initial energy arr[] stores energy
// at each checkpoints on street
static int minInitialEnergy(int arr[], int n)
{
    // initMinEnergy is variable to store
    // minimum initial energy required.
    int initMinEnergy = 0;
 
    // currEnergy is variable to store
    // current value of energy at
    // i'th checkpoint on street
    int currEnergy = 0;
 
    // flag to check if we have successfully
    // crossed the street without any energy
    // loss <= o at any checkpoint
    boolean flag = false;
 
    // Traverse each check point linearly
    for (int i = 0; i < n; i++) {
    currEnergy += arr[i];
 
    // If current energy, becomes negative or 0,
    // increment initial minimum energy by the negative
    // value plus 1. to keep current energy
    // positive (at least 1). Also
    // update current energy and flag.
    if (currEnergy <= 0) {
        initMinEnergy += Math.abs(currEnergy) + 1;
        currEnergy = 1;
        flag = true;
    }
    }
 
    // If energy never became negative or 0, then
    // return 1. Else return computed initMinEnergy
    return (flag == false) ? 1 : initMinEnergy;
}
 
// Driver code
public static void main(String[] args)
{
    int arr[] = {4, -10, 4, 4, 4};
    int n = arr.length;
    System.out.print(minInitialEnergy(arr, n));
}
}
 
// This code is contributed by Anant Agarwal.


Python3




# Python program to find minimum initial energy to
# reach end
 
# Function to calculate minimum initial energy
# arr[] stores energy at each checkpoints on street
def minInitialEnergy(arr):
    n = len(arr)
     
    # initMinEnergy is variable to store minimum initial
    # energy required
    initMinEnergy = 0;
     
    # currEnergy is variable to store current value of
    # energy at i'th checkpoint on street
    currEnergy = 0
 
    # flag to check if we have successfully crossed the
    # street without any energy loss <= 0 at any checkpoint
    flag = 0
     
    # Traverse each check point linearly
    for i in range(n):
        currEnergy += arr[i]
         
        # If current energy, becomes negative or 0, increment
        # initial minimum energy by the negative value plus 1.
        # to keep current energy positive (at least 1). Also
        # update current energy and flag.
        if currEnergy <= 0 :
            initMinEnergy += (abs(currEnergy) +1)
            currEnergy = 1
            flag = 1
 
    # If energy never became negative or 0, then
    # return 1. Else return computed initMinEnergy
    return 1 if flag == 0 else initMinEnergy
 
 
# Driver program to test above function
arr = [4, -10 , 4, 4, 4]
print (minInitialEnergy(arr))
 
# This code is contributed by Nikhil Kumar Singh(nickzuck_007)


C#




// C# program to find minimum
// C# program to find minimum
// initial energy to reach end
using System;
 
class GFG {
     
// Function to calculate minimum
// initial energy arr[] stores energy
// at each checkpoints on street
static int minInitialEnergy(int []arr, int n)
{
     
    // initMinEnergy is variable to store
    // minimum initial energy required.
    int initMinEnergy = 0;
 
    // currEnergy is variable to store
    // current value of energy at
    // i'th checkpoint on street
    int currEnergy = 0;
 
    // flag to check if we have successfully
    // crossed the street without any energy
    // loss <= o at any checkpoint
    bool flag = false;
 
    // Traverse each check point linearly
    for (int i = 0; i < n; i++) {
    currEnergy += arr[i];
 
    // If current energy, becomes negative or 0,
    // negativeincrement initial minimum energy
    // by the value plus 1. to keep current
    // energy positive (at least 1). Also
    // update current energy and flag.
    if (currEnergy <= 0)
    {
        initMinEnergy += Math.Abs(currEnergy) + 1;
        currEnergy = 1;
        flag = true;
    }
    }
 
    // If energy never became negative
    // or 0, then return 1. Else return
    // computed initMinEnergy
    return (flag == false) ? 1 : initMinEnergy;
}
 
// Driver code
public static void Main()
{
    int []arr = {4, -10, 4, 4, 4};
    int n = arr.Length;
    Console.Write(minInitialEnergy(arr, n));
}
}
 
// This code is contributed by Nitin Mittal.


PHP




<?php
// PHP program to find minimum
// initial energy to reach end
 
// Function to calculate minimum
// initial energy arr[] stores
// energy at each checkpoints on street
function minInitialEnergy($arr, $n)
{
    // initMinEnergy is variable
    // to store minimum initial
    // energy required.
    $initMinEnergy = 0;
 
    // currEnergy is variable to
    // store current value of energy
    // at i'th checkpoint on street
    $currEnergy = 0;
 
    // flag to check if we have
    // successfully crossed the
    // street without any energy
    // loss <= o at any checkpoint
    $flag = 0;
 
    // Traverse each check
    // point linearly
    for ($i = 0; $i < $n; $i++)
    {
        $currEnergy += $arr[$i];
 
        // If current energy, becomes
        // negative or 0, increment
        // initial minimum energy by
        // the negative value plus 1.
        // to keep current energy
        // positive (at least 1). Also
        // update current energy and flag.
        if ($currEnergy <= 0)
        {
            $initMinEnergy += abs($currEnergy) + 1;
            $currEnergy = 1;
            $flag = 1;
        }
    }
 
    // If energy never became
    // negative or 0, then
    // return 1. Else return
    // computed initMinEnergy
    return ($flag == 0) ? 1 : $initMinEnergy;
}
 
// Driver Code
$arr = array(4, -10, 4, 4, 4);
$n = sizeof($arr);
echo minInitialEnergy($arr, $n);
 
// This code is contributed
// by nitin mittal.
?>


Javascript




<script>
// Javascript program to find minimum
// initial energy to reach end
 
// Function to calculate minimum
// initial energy arr[] stores
// energy at each checkpoints on street
function minInitialEnergy(arr, n) {
    // initMinEnergy is variable
    // to store minimum initial
    // energy required.
    let initMinEnergy = 0;
 
    // currEnergy is variable to
    // store current value of energy
    // at i'th checkpoint on street
    let currEnergy = 0;
 
    // flag to check if we have
    // successfully crossed the
    // street without any energy
    // loss <= o at any checkpoint
    let flag = 0;
 
    // Traverse each check
    // point linearly
    for (let i = 0; i < n; i++) {
        currEnergy += arr[i];
 
        // If current energy, becomes
        // negative or 0, increment
        // initial minimum energy by
        // the negative value plus 1.
        // to keep current energy
        // positive (at least 1). Also
        // update current energy and flag.
        if (currEnergy <= 0) {
            initMinEnergy += Math.abs(currEnergy) + 1;
            currEnergy = 1;
            flag = 1;
        }
    }
 
    // If energy never became
    // negative or 0, then
    // return 1. Else return
    // computed initMinEnergy
    return (flag == 0) ? 1 : initMinEnergy;
}
 
// Driver Code
let arr = new Array(4, -10, 4, 4, 4);
let n = arr.length;
document.write(minInitialEnergy(arr, n));
 
// This code is contributed
// by Saurabh Jaiswal
</script>


Output

7

Time Complexity : O(n) 
Auxiliary Space : O(1)

This article is contributed by Shashank Mishra ( Gullu ). If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.


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Last Updated : 02 May, 2023
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