Rotate an Array by d - Counterclockwise or Left
Last Updated :
03 Oct, 2024
Given an array of integers arr[] of size n, the task is to rotate the array elements to the left by d positions.
Examples:
Input: arr[] = {1, 2, 3, 4, 5, 6}, d = 2
Output: {3, 4, 5, 6, 1, 2}
Explanation: After first left rotation, arr[] becomes {2, 3, 4, 5, 6, 1} and after the second rotation, arr[] becomes {3, 4, 5, 6, 1, 2}
Input: arr[] = {1, 2, 3}, d = 4
Output: {2, 3, 1}
Explanation: The array is rotated as follows:
- After first left rotation, arr[] = {2, 3, 1}
- After second left rotation, arr[] = {3, 1, 2}
- After third left rotation, arr[] = {1, 2, 3}
- After fourth left rotation, arr[] = {2, 3, 1}
[Naive Approach] Rotate one by one - O(n * d) Time and O(1) Space
In each iteration, shift the elements by one position to the left in a circular fashion (the first element becomes the last). Perform this operation d times to rotate the elements to the left by d positions.
Illustration:
Let us take arr[] = {1, 2, 3, 4, 5, 6}, d = 2.
First Step:
=> Rotate to left by one position.
=> arr[] = {2, 3, 4, 5, 6, 1}
Second Step:
=> Rotate again to left by one position
=> arr[] = {3, 4, 5, 6, 1, 2}
Rotation is done 2 times.
So the array becomes arr[] = {3, 4, 5, 6, 1, 2}
C++
// C++ Program to left rotate the array by d positions
// by rotating one element at a time
#include <bits/stdc++.h>
using namespace std;
// Function to left rotate array by d positions
void rotateArr(vector<int>& arr, int d) {
int n = arr.size();
// Repeat the rotation d times
for (int i = 0; i < d; i++) {
// Left rotate the array by one position
int first = arr[0];
for (int j = 0; j < n - 1; j++) {
arr[j] = arr[j + 1];
}
arr[n - 1] = first;
}
}
int main() {
vector<int> arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.size(); i++)
cout << arr[i] << " ";
return 0;
}
C
// C Program to left rotate the array by d positions
// by rotating one element at a time
#include <stdio.h>
// Function to left rotate array by d positions
// Repeat the rotation d times
void rotateArr(int arr[], int n, int d) {
for (int i = 0; i < d; i++) {
// Left rotate the array by one position
int first = arr[0];
for (int j = 0; j < n - 1; j++) {
arr[j] = arr[j + 1];
}
arr[n - 1] = first;
}
}
int main() {
int arr[] = { 1, 2, 3, 4, 5, 6 };
int d = 2;
int n = sizeof(arr) / sizeof(arr[0]);
rotateArr(arr, n, d);
for (int i = 0; i < n; i++)
printf("%d ", arr[i]);
return 0;
}
Java
// Java Program to left rotate the array by d positions
// by rotating one element at a time
import java.util.Arrays;
class GfG {
// Function to left rotate array by d positions
static void rotateArr(int[] arr, int d) {
int n = arr.length;
// Repeat the rotation d times
for (int i = 0; i < d; i++) {
// Left rotate the array by one position
int first = arr[0];
for (int j = 0; j < n - 1; j++) {
arr[j] = arr[j + 1];
}
arr[n - 1] = first;
}
}
public static void main(String[] args) {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.length; i++)
System.out.print(arr[i] + " ");
}
}
Python
# Python Program to left rotate the array by d positions
# by rotating one element at a time
# Function to left rotate array by d positions
def rotateArr(arr, d):
n = len(arr)
# Repeat the rotation d times
for i in range(d):
# Left rotate the array by one position
first = arr[0]
for j in range(n - 1):
arr[j] = arr[j + 1]
arr[n - 1] = first
if __name__ == "__main__":
arr = [1, 2, 3, 4, 5, 6]
d = 2
rotateArr(arr, d)
for i in range(len(arr)):
print(arr[i], end=" ")
C#
// C# Program to left rotate the array by d positions
// by rotating one element at a time
using System;
class GfG {
// Function to left rotate array by d positions
static void rotateArr(int[] arr, int d) {
int n = arr.Length;
// Repeat the rotation d times
for (int i = 0; i < d; i++) {
// Left rotate the array by one position
int first = arr[0];
for (int j = 0; j < n - 1; j++) {
arr[j] = arr[j + 1];
}
arr[n - 1] = first;
}
}
static void Main() {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.Length; i++)
Console.Write(arr[i] + " ");
}
}
Javascript
// JavaScript Program to left rotate the array by d positions
// by rotating one element at a time
// Function to left rotate array by d positions
function rotateArr(arr, d) {
let n = arr.length;
// Repeat the rotation d times
for (let i = 0; i < d; i++) {
// Left rotate the array by one position
let first = arr[0];
for (let j = 0; j < n - 1; j++) {
arr[j] = arr[j + 1];
}
arr[n - 1] = first;
}
}
let arr = [1, 2, 3, 4, 5, 6];
let d = 2;
rotateArr(arr, d);
console.log(arr.join(" "));
Time Complexity: O(n*d), the outer loop runs d
times, and within each iteration, the inner loop shifts all n elements of the array by one position, resulting in a total of n*d
operations.
Auxiliary Space: O(1)
[Better Approach] Using Temporary Array - O(n) Time and O(n) Space
This problem can be solved using the below idea:
The idea is to use a temporary array of size n, where n is the length of the original array. If we left rotate the array by d positions, the last n - d elements will be at the front and the first d elements will be at the end.
- Copy the last (n - d) elements of original array into the first n - d positions of temporary array.
- Then copy the first d elements of the original array to the end of temporary array.
- Finally, copy all the elements of temporary array back into the original array.
Working:
Below is the implementation of the algorithm:
C++
// C++ Program to left rotate the array by d positions
// using temporary array
#include <bits/stdc++.h>
using namespace std;
// Function to rotate vector
void rotateArr(vector<int>& arr, int d) {
int n = arr.size();
// Handle case when d > n
d %= n;
// Storing rotated version of array
vector<int> temp(n);
// Copy last n - d elements to the front of temp
for (int i = 0; i < n - d; i++)
temp[i] = arr[d + i];
// Copy the first d elements to the back of temp
for (int i = 0; i < d; i++)
temp[n - d + i] = arr[i];
// Copying the elements of temp in arr
// to get the final rotated vector
for (int i = 0; i < n; i++)
arr[i] = temp[i];
}
int main() {
vector<int> arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
// Print the rotated vector
for (int i = 0; i < arr.size(); i++)
cout << arr[i] << " ";
return 0;
}
C
// C Program to left rotate the array by d positions
// using temporary array
#include <stdio.h>
#include <stdlib.h>
// Function to rotate array
void rotateArr(int* arr, int d, int n) {
// Handle case when d > n
d %= n;
// Storing rotated version of array
int temp[n];
// Copy last n - d elements to the front of temp
for (int i = 0; i < n - d; i++)
temp[i] = arr[d + i];
// Copy the first d elements to the back of temp
for (int i = 0; i < d; i++)
temp[n - d + i] = arr[i];
// Copying the elements of temp in arr
// to get the final rotated array
for (int i = 0; i < n; i++)
arr[i] = temp[i];
}
int main() {
int arr[] = { 1, 2, 3, 4, 5, 6 };
int n = sizeof(arr) / sizeof(arr[0]);
int d = 2;
rotateArr(arr, d, n);
// Print the rotated array
for (int i = 0; i < n; i++)
printf("%d ", arr[i]);
return 0;
}
Java
// Java Program to left rotate the array by d positions
// using temporary array
import java.util.Arrays;
class GfG {
// Function to rotate array
static void rotateArr(int[] arr, int d) {
int n = arr.length;
// Handle case when d > n
d %= n;
// Storing rotated version of array
int[] temp = new int[n];
// Copy last n - d elements to the front of temp
for (int i = 0; i < n - d; i++)
temp[i] = arr[d + i];
// Copy the first d elements to the back of temp
for (int i = 0; i < d; i++)
temp[n - d + i] = arr[i];
// Copying the elements of temp in arr
// to get the final rotated array
for (int i = 0; i < n; i++)
arr[i] = temp[i];
}
public static void main(String[] args) {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
// Print the rotated array
for (int i = 0; i < arr.length; i++)
System.out.print(arr[i] + " ");
}
}
Python
# Python Program to left rotate the array by d positions
# using temporary array
# Function to rotate array
def rotateArr(arr, d):
n = len(arr)
# Handle case when d > n
d %= n
# Storing rotated version of array
temp = [0] * n
# Copy last n - d elements to the front of temp
for i in range(n - d):
temp[i] = arr[d + i]
# Copy the first d elements to the back of temp
for i in range(d):
temp[n - d + i] = arr[i]
# Copying the elements of temp in arr
# to get the final rotated array
for i in range(n):
arr[i] = temp[i]
if __name__ == "__main__":
arr = [1, 2, 3, 4, 5, 6]
d = 2
rotateArr(arr, d)
# Print the rotated array
for i in range(len(arr)):
print(arr[i], end=" ")
C#
// C# Program to left rotate the array by d positions
// using temporary array
using System;
class GfG {
// Function to rotate array
static void rotateArr(int[] arr, int d) {
int n = arr.Length;
// Handle case when d > n
d %= n;
// Storing rotated version of array
int[] temp = new int[n];
// Copy last n - d elements to the front of temp
for (int i = 0; i < n - d; i++)
temp[i] = arr[d + i];
// Copy the first d elements to the back of temp
for (int i = 0; i < d; i++)
temp[n - d + i] = arr[i];
// Copying the elements of temp in arr
// to get the final rotated array
for (int i = 0; i < n; i++)
arr[i] = temp[i];
}
static void Main(string[] args) {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
// Print the rotated array
for (int i = 0; i < arr.Length; i++)
Console.Write(arr[i] + " ");
}
}
Javascript
// JavaScript Program to left rotate the array by d positions
// using temporary array
// Function to rotate array
function rotateArr(arr, d) {
let n = arr.length;
// Handle case when d > n
d %= n;
// Storing rotated version of array
let temp = new Array(n);
// Copy last n - d elements to the front of temp
for (let i = 0; i < n - d; i++)
temp[i] = arr[d + i];
// Copy the first d elements to the back of temp
for (let i = 0; i < d; i++)
temp[n - d + i] = arr[i];
// Copying the elements of temp in arr
// to get the final rotated array
for (let i = 0; i < n; i++)
arr[i] = temp[i];
}
const arr = [1, 2, 3, 4, 5, 6];
const d = 2;
rotateArr(arr, d);
// Print the rotated array
console.log(arr.join(" "));
Time Complexity: O(n), as we are visiting each element only twice.
Auxiliary Space: O(n), as we are using an additional temporary array.
[Expected Approach 1] Using Juggling Algorithm - O(n) Time and O(1) Space
The idea is to use Juggling Algorithm which is based on rotating elements in cycles. Each cycle is independent and represents a group of elements that will shift among themselves during the rotation. If the starting index of a cycle is i, then next elements of the cycle can be found at indices (i + d) % n, (i + 2d) % n, (i + 3d) % n ... and so on till we return to the original index i.
So for any index i, we know that after rotation, the element that will occupy this position is arr[(i + d) % n]. Consequently, for every index in the cycle, we will place the element that should be in that position after the rotation is completed.
Please refer Juggling Algorithm for Array Rotation to know more about the implementation.
Time Complexity: O(n)
Auxiliary Space: O(1)
[Expected Approach 2] Using Reversal Algorithm - O(n) Time and O(1) Space
The idea is based on the observation that if we left rotate the array by d positions, the last (n - d) elements will be at the front and the first d elements will be at the end.
- Reverse the subarray containing the first d elements of the array.
- Reverse the subarray containing the last (n - d) elements of the array.
- Finally, reverse all the elements of the array.
Working:
Below is the implementation of the algorithm:
C++
// C++ Code to left rotate an array using Reversal Algorithm
#include <bits/stdc++.h>
using namespace std;
// Function to rotate an array by d elements to the left
void rotateArr(vector<int>& arr, int d) {
int n = arr.size();
// Handle the case where d > size of array
d %= n;
// Reverse the first d elements
reverse(arr.begin(), arr.begin() + d);
// Reverse the remaining n-d elements
reverse(arr.begin() + d, arr.end());
// Reverse the entire array
reverse(arr.begin(), arr.end());
}
int main() {
vector<int> arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.size(); i++)
cout << arr[i] << " ";
return 0;
}
C
// C Code to left rotate an array using Reversal Algorithm
#include <stdio.h>
// Function to reverse a portion of the array
void reverse(int* arr, int start, int end) {
while (start < end) {
int temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}
// Function to rotate an array by d elements to the left
void rotateArr(int* arr, int n, int d) {
// Handle the case where d > size of array
d %= n;
// Reverse the first d elements
reverse(arr, 0, d - 1);
// Reverse the remaining n-d elements
reverse(arr, d, n - 1);
// Reverse the entire array
reverse(arr, 0, n - 1);
}
int main() {
int arr[] = { 1, 2, 3, 4, 5, 6 };
int n = sizeof(arr) / sizeof(arr[0]);
int d = 2;
rotateArr(arr, n, d);
for (int i = 0; i < n; i++)
printf("%d ", arr[i]);
return 0;
}
Java
// Java Code to left rotate an array using Reversal Algorithm
import java.util.Arrays;
class GfG {
// Function to rotate an array by d elements to the left
static void rotateArr(int[] arr, int d) {
int n = arr.length;
// Handle the case where d > size of array
d %= n;
// Reverse the first d elements
reverse(arr, 0, d - 1);
// Reverse the remaining n-d elements
reverse(arr, d, n - 1);
// Reverse the entire array
reverse(arr, 0, n - 1);
}
// Function to reverse a portion of the array
static void reverse(int[] arr, int start, int end) {
while (start < end) {
int temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}
public static void main(String[] args) {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.length; i++)
System.out.print(arr[i] + " ");
}
}
Python
# Python Code to left rotate an array using Reversal Algorithm
# Function to rotate an array by d elements to the left
def rotateArr(arr, d):
n = len(arr)
# Handle the case where d > size of array
d %= n
# Reverse the first d elements
reverse(arr, 0, d - 1)
# Reverse the remaining n-d elements
reverse(arr, d, n - 1)
# Reverse the entire array
reverse(arr, 0, n - 1)
# Function to reverse a portion of the array
def reverse(arr, start, end):
while start < end:
arr[start], arr[end] = arr[end], arr[start]
start += 1
end -= 1
if __name__ == "__main__":
arr = [1, 2, 3, 4, 5, 6]
d = 2
rotateArr(arr, d)
for i in range(len(arr)):
print(arr[i], end=" ")
C#
// C# Code to left rotate an array using Reversal Algorithm
using System;
class GfG {
// Function to rotate an array by d elements to the left
static void rotateArr(int[] arr, int d) {
int n = arr.Length;
// Handle the case where d > size of array
d %= n;
// Reverse the first d elements
reverse(arr, 0, d - 1);
// Reverse the remaining n-d elements
reverse(arr, d, n - 1);
// Reverse the entire array
reverse(arr, 0, n - 1);
}
// Function to reverse a portion of the array
static void reverse(int[] arr, int start, int end) {
while (start < end) {
int temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}
static void Main() {
int[] arr = { 1, 2, 3, 4, 5, 6 };
int d = 2;
rotateArr(arr, d);
for (int i = 0; i < arr.Length; i++)
Console.Write(arr[i] + " ");
}
}
JavaScript
// JavaScript Code to left rotate an array using Reversal Algorithm
// Function to rotate an array by d elements to the left
function rotateArr(arr, d) {
let n = arr.length;
// Handle the case where d > size of array
d %= n;
// Reverse the first d elements
reverse(arr, 0, d - 1);
// Reverse the remaining n-d elements
reverse(arr, d, n - 1);
// Reverse the entire array
reverse(arr, 0, n - 1);
}
// Function to reverse a portion of the array
function reverse(arr, start, end) {
while (start < end) {
let temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}
const arr = [1, 2, 3, 4, 5, 6];
const d = 2;
rotateArr(arr, d);
console.log(arr.join(" "));
Time complexity: O(n), as we are visiting each element exactly twice.
Auxiliary Space: O(1)
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Print left rotation of array in O(n) time and O(1) spaceGiven an array of size n and multiple values around which we need to left rotate the array. How to quickly print multiple left rotations?Examples : Input : arr[] = {1, 3, 5, 7, 9}k1 = 1k2 = 3k3 = 4k4 = 6Output : 3 5 7 9 17 9 1 3 59 1 3 5 73 5 7 9 1Input : arr[] = {1, 3, 5, 7, 9}k1 = 14 Output : 9 1
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Sort an array which contain 1 to n valuesWe are given an array that contains 1 to n elements, our task is to sort this array in an efficient way. We are not allowed to simply copy the numbers from 1 to n.Examples : Input : arr[] = {2, 1, 3};Output : {1, 2, 3}Input : arr[] = {2, 1, 4, 3};Output : {1, 2, 3, 4} Native approach - O(n Log n) Ti
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Count Possible TrianglesGiven an unsorted array of positive integers, the task is to find the number of triangles that can be formed with three different array elements as three sides of triangles. For a triangle to be possible from 3 values as sides, the sum of the two values (or sides) must always be greater than the thi
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Print all Distinct (Unique) Elements in given ArrayGiven an integer array arr[], print all distinct elements from this array. The given array may contain duplicates and the output should contain every element only once.Examples: Input: arr[] = {12, 10, 9, 45, 2, 10, 10, 45}Output: {12, 10, 9, 45, 2}Input: arr[] = {1, 2, 3, 4, 5}Output: {1, 2, 3, 4,
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Unique Number IGiven an array of integers, every element in the array appears twice except for one element which appears only once. The task is to identify and return the element that occurs only once.Examples: Input: arr[] = [2, 3, 5, 4, 5, 3, 4]Output: 2 Explanation: Since 2 occurs once, while other numbers occu
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Leaders in an arrayGiven an array arr[] of size n, the task is to find all the Leaders in the array. An element is a Leader if it is greater than or equal to all the elements to its right side. Note: The rightmost element is always a leader. Examples: Input: arr[] = [16, 17, 4, 3, 5, 2]Output: [17 5 2]Explanation: 17
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Subarray with Given SumGiven a 1-based indexing array arr[] of non-negative integers and an integer sum. You mainly need to return the left and right indexes(1-based indexing) of that subarray. In case of multiple subarrays, return the subarray indexes which come first on moving from left to right. If no such subarray exi
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Intermediate problems on Array
Rearrange an array such that arr[i] = iGiven an array of elements of length n, ranging from 0 to n - 1. All elements may not be present in the array. If the element is not present then there will be -1 present in the array. Rearrange the array such that arr[i] = i and if i is not present, display -1 at that place.Examples: Input: arr[] =
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Alternate Rearrangement of Positives and NegativesAn array contains both positive and negative numbers in random order. Rearrange the array elements so that positive and negative numbers are placed alternatively. A number of positive and negative numbers need not be equal. If there are more positive numbers they appear at the end of the array. If t
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Reorder an array according to given indexesGiven two integer arrays of the same length, arr[] and index[], the task is to reorder the elements in arr[] such that after reordering, each element from arr[i] moves to the position index[i]. The new arrangement reflects the values being placed at their target indices, as described by index[] arra
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Find the smallest missing numberGiven a sorted array of n distinct integers where each integer is in the range from 0 to m-1 and m > n. Find the smallest number that is missing from the array. Examples: Input: {0, 1, 2, 6, 9}, n = 5, m = 10 Output: 3 Input: {4, 5, 10, 11}, n = 4, m = 12 Output: 0 Input: {0, 1, 2, 3}, n = 4, m =
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Difference Array | Range update query in O(1)You are given an integer array arr[] and a list of queries. Each query is represented as a list of integers where:[1, l, r, x]: Adds x to all elements from arr[l] to arr[r] (inclusive).[2]: Prints the current state of the array.You need to perform the queries in order.Examples : Input: arr[] = [10,
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Stock Buy and Sell â Max 2 Transactions AllowedIn the stock market, a person buys a stock and sells it on some future date. Given the stock prices of n days in an array prices[ ]. Find out the maximum profit a person can make in at most 2 transactions. A transaction is equivalent to (buying + selling) of a stock and a new transaction can start o
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Smallest subarray with sum greater than a given valueGiven an array arr[] of integers and a number x, the task is to find the smallest subarray with a sum strictly greater than x.Examples:Input: x = 51, arr[] = [1, 4, 45, 6, 0, 19]Output: 3Explanation: Minimum length subarray is [4, 45, 6]Input: x = 100, arr[] = [1, 10, 5, 2, 7]Output: 0Explanation: N
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Count Inversions of an ArrayGiven an integer array arr[] of size n, find the inversion count in the array. Two array elements arr[i] and arr[j] form an inversion if arr[i] > arr[j] and i < j.Note: Inversion Count for an array indicates that how far (or close) the array is from being sorted. If the array is already sorted
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Merge Two Sorted Arrays Without Extra SpaceGiven two sorted arrays a[] and b[] of size n and m respectively, the task is to merge both the arrays and rearrange the elements such that the smallest n elements are in a[] and the remaining m elements are in b[]. All elements in a[] and b[] should be in sorted order.Examples: Input: a[] = [2, 4,
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Majority ElementYou are given an array arr, and your task is to find the majority element an element that occurs more than half the length of the array (i.e., arr.size() / 2). If such an element exists return it, otherwise return -1, indicating that no majority element is present.Examples : Input : arr[] = [1, 1, 2
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Two Pointers TechniqueTwo pointers is really an easy and effective technique that is typically used for Two Sum in Sorted Arrays, Closest Two Sum, Three Sum, Four Sum, Trapping Rain Water and many other popular interview questions. Given a sorted array arr (sorted in ascending order) and a target, find if there exists an
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3 Sum - Triplet Sum in ArrayGiven an array arr[] of size n and an integer sum, the task is to check if there is a triplet in the array which sums up to the given target sum.Examples: Input: arr[] = [1, 4, 45, 6, 10, 8], target = 13Output: true Explanation: The triplet [1, 4, 8] sums up to 13Input: arr[] = [1, 2, 4, 3, 6, 7], t
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Equilibrium IndexGiven an array arr[] of size n, the task is to return an equilibrium index (if any) or -1 if no equilibrium index exists. The equilibrium index of an array is an index such that the sum of all elements at lower indexes equals the sum of all elements at higher indexes. Note: When the index is at the
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Hard problems on Array
MO's Algorithm (Query Square Root Decomposition) | Set 1 (Introduction)Let us consider the following problem to understand MO's Algorithm. We are given an array and a set of query ranges, we are required to find the sum of every query range.Example: Input: arr[] = {1, 1, 2, 1, 3, 4, 5, 2, 8}; query[] = [0, 4], [1, 3] [2, 4]Output: Sum of arr[] elements in range [0, 4]
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Square Root (Sqrt) Decomposition AlgorithmSquare Root Decomposition Technique is one of the most common query optimization techniques used by competitive programmers. This technique helps us to reduce Time Complexity by a factor of sqrt(N) The key concept of this technique is to decompose a given array into small chunks specifically of size
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Sparse TableSparse table concept is used for fast queries on a set of static data (elements do not change). It does preprocessing so that the queries can be answered efficiently.Range Minimum Query Using Sparse TableYou are given an integer array arr of length n and an integer q denoting the number of queries.
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Range sum query using Sparse TableWe have an array arr[]. We need to find the sum of all the elements in the range L and R where 0 <= L <= R <= n-1. Consider a situation when there are many range queries. Examples: Input : 3 7 2 5 8 9 query(0, 5) query(3, 5) query(2, 4) Output : 34 22 15Note : array is 0 based indexed and q
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Range LCM QueriesGiven an array arr[] of integers of size N and an array of Q queries, query[], where each query is of type [L, R] denoting the range from index L to index R, the task is to find the LCM of all the numbers of the range for all the queries.Examples: Input: arr[] = {5, 7, 5, 2, 10, 12 ,11, 17, 14, 1, 4
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Jump Game - Minimum Jumps to Reach EndGiven an array arr[] of non-negative numbers. Each number tells you the maximum number of steps you can jump forward from that position.For example:If arr[i] = 3, you can jump to index i + 1, i + 2, or i + 3 from position i.If arr[i] = 0, you cannot jump forward from that position.Your task is to fi
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Space optimization using bit manipulationsThere are many situations where we use integer values as index in array to see presence or absence, we can use bit manipulations to optimize space in such problems.Let us consider below problem as an example.Given two numbers say a and b, mark the multiples of 2 and 5 between a and b using less than
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Maximum value of Sum(i*arr[i]) with array rotations allowedGiven an array arr[], the task is to determine the maximum possible value of the expression i*arr[i] after rotating the array any number of times (including zero).Note: In each rotation, every element of the array shifts one position to the right, and the last element moves to the front.Examples : I
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Construct an array from its pair-sum arrayGiven a pair-sum array construct the original array. A pair-sum array for an array is the array that contains sum of all pairs in ordered form, i.e., pair[0] is sum of arr[0] and arr[1], pair[1] is sum of arr[0] and arr[2] and so on. Note that if the size of input array is n, then the size of pair a
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Maximum equilibrium sum in an arrayGiven an array arr[]. Find the maximum value of prefix sum which is also suffix sum for index i in arr[].Examples : Input : arr[] = {-1, 2, 3, 0, 3, 2, -1}Output : 4Explanation : Prefix sum of arr[0..3] = Suffix sum of arr[3..6]Input : arr[] = {-3, 5, 3, 1, 2, 6, -4, 2}Output : 7Explanation : Prefix
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Smallest Difference Triplet from Three arraysThree arrays of same size are given. Find a triplet such that maximum - minimum in that triplet is minimum of all the triplets. A triplet should be selected in a way such that it should have one number from each of the three given arrays. If there are 2 or more smallest difference triplets, then the
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Top 50 Array Coding Problems for Interviews Array is one of the most widely used data structure and is frequently asked in coding interviews to the problem solving skills. The following list of 50 array coding problems covers a range of difficulty levels, from easy to hard, to help candidates prepare for interviews.Easy ProblemsSecond Largest
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