Utopian Tree in Algorithm | HackerRank Programming Solutions | HackerRank Problem Solving Solutions in Java [💯Correct]

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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 ProblemUtopian Tree – Hacker Rank Solution

Utopian Tree – Hacker Rank Solution

Problem:

The Utopian Tree goes through 2 cycles of growth every year. Each spring, it doubles in height. Each summer, its height increases by 1 meter.

A Utopian Tree sapling with a height of 1 meter is planted at the onset of spring. How tall will the tree be after  growth cycles?

For example, if the number of growth cycles is , the calculations are as follows:

Period  Height
0          1
1          2
2          3
3          6
4          7
5          14

Function Description

Complete the utopianTree function in the editor below.

utopianTree has the following parameter(s):

  • int n: the number of growth cycles to simulate

Returns

  • int: the height of the tree after the given number of cycles

Input Format

The first line contains an integer, , the number of test cases.
 subsequent lines each contain an integer, , the number of cycles for that test case.

Constraints

image 81

Sample Input

3
0
1
4

Sample Output

1
2
7

Explanation

Utopian Tree in Algorithm | HackerRank Programming Solutions | HackerRank Problem Solving Solutions in Java [💯Correct]
Utopian Tree – Hacker Rank Solution
import java.util.Scanner;

/**
 * @author Techno-RJ
 *
 */
public class UtopianTree {

	// Complete the utopianTree function below.
	static int utopianTree(int n) {
		return (1 << ((n >> 1) + 1)) - 1 << n % 2;
	}

	public static void main(String[] args) {
		Scanner sc = new Scanner(System.in);
		int T = sc.nextInt();
		for (int i = 0; i < T; i++) {
			int cycle = sc.nextInt();
			System.out.println(utopianTree(cycle));

		}
		sc.close();
	}
}

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