Hello **Programmers/Coders,** Today we are going to share ** solutions of Programming problems of HackerRank, Algorithm Solutions of Problem Solving Section in Java**. At Each Problem with Successful submission with

**all Test Cases Passed,**you will get an score or marks. And after solving maximum problems, you will be getting stars. This will highlight your profile to the recruiters.

In this post, you will find the solution for **Intro to Tutorial Challenges** **in Java-HackerRank Problem**. We are providing the **correct and tested solutions** of coding problems present on **HackerRank**. If you are not able to solve any problem, then you can take help from our Blog/website.

Use “Ctrl+F” To Find Any Questions Answer. & For Mobile User, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Option to Get Any Random Questions Answer.

**Introduction To Algorithm**

The word **Algorithm** means “a process or set of rules to be followed in calculations or other problem-solving operations”. Therefore Algorithm refers to a set of rules/instructions that step-by-step define how a work is to be executed upon in order to get the expected results.

**Advantages of Algorithms:**

- It is easy to understand.
- Algorithm is a step-wise representation of a solution to a given problem.
- In Algorithm the problem is broken down into smaller pieces or steps hence, it is easier for the programmer to convert it into an actual program.

** Link for the Problem** – Intro to Tutorial Challenges– Hacker Rank Solution

Intro to Tutorial Challenges – Hacker Rank Solution

**Problem:**

**About Tutorial Challenges**

Many of the challenges on HackerRank are difficult and assume that you already know the relevant algorithms. These tutorial challenges are different. They break down algorithmic concepts into smaller challenges so that you can learn the algorithm by solving them. They are intended for those who already know some programming, however. You could be a student majoring in computer science, a self-taught programmer, or an experienced developer who wants an active algorithms review. Here’s a great place to learn by doing!

The first series of challenges covers sorting. They are listed below:

**Tutorial Challenges – Sorting**

Insertion Sort challenges

- Insertion Sort 1 – Inserting
- Insertion Sort 2 – Sorting
- Correctness and loop invariant
- Running Time of Algorithms

Quicksort challenges

Counting sort challenges

- Counting Sort 1 – Counting
- Counting Sort 2 – Simple sort
- Counting Sort 3 – Preparing
- Full Counting Sort (advanced)

There will also be some challenges where you’ll get to apply what you’ve learned using the completed algorithms.

**About the Challenges**

Each challenge will describe a scenario and you will code a solution. As you progress through the challenges, you will learn some important concepts in algorithms. In each challenge, you will receive input on STDIN and you will need to print the correct output to STDOUT.

There may be time limits that will force you to make your code efficient. If you receive a “Terminated due to time out” message when you submit your solution, you’ll need to reconsider your method. If you want to test your code locally, each test case can be downloaded, inputs and expected results, using *hackos*. You earn hackos as you solve challenges, and you can spend them on these tests.

For many challenges, helper methods (like an array) will be provided for you to process the input into a useful format. You can use these methods to get started with your program, or you can write your own input methods if you want. Your code just needs to print the right output to each test case.

**Sample Challenge**

This is a simple challenge to get things started. Given a sorted array () and a number (), can you print the index location of in the array?

**Example**

Return for a zero-based index array.

*If you are going to use the provided code for I/O, this next section is for you.*

**Function Description**

Complete the *introTutorial* function in the editor below. It must return an integer representing the zero-based index of .

introTutorial has the following parameter(s):

*int arr[n]:*a sorted array of integers*int V*: an integer to search for

**Returns**

*int:*the index of in

*The next section describes the input format. You can often skip it, if you are using included methods or code stubs.*

**Input Format**

The first line contains an integer, , a value to search for.

The next line contains an integer, , the size of . The last line contains space-separated integers, each a value of where .

*The next section describes the constraints and ranges of the input. You should check this section to know the range of the input.*

**Constraints**

- will occur in exactly once.

*This “sample” shows the first input test case. It is often useful to go through the sample to understand a challenge.*

**Sample Input 0**

STDIN Function ----- -------- 4 V = 4 6 arr[] size n = 6 (not passed, see function description parameters) 1 4 5 7 9 12 arr = [1, 4, 5, 7, 9, 12]

**Sample Output 0**

1

**Explanation 0**

. The value is the element in the array. Its index is since the array indices start from (see array definition under *Input Format*).

Intro to Tutorial Challenges – Hacker Rank Solution

import java.util.Scanner; /** * @author Techno-RJ * */ public class IntroToTutorialChallenges { public static int binarySearch(int a[], int key) { int lo = 0; int hi = a.length; while (lo <= hi) { int mid = (lo + (hi - lo) / 2); if (a[mid] == key) return mid; if (a[mid] < key) lo = mid + 1; if (a[mid] > key) hi = mid - 1; } return -1; } public static void main(String[] args) { Scanner in = new Scanner(System.in); int key = in.nextInt(); int s = in.nextInt(); int[] ar = new int[s]; for (int i = 0; i < s; i++) { ar[i] = in.nextInt(); } System.out.println(binarySearch(ar, key)); in.close(); } }

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