Skip to main content

Pattern 2 | Java

 Problem Statement:

Write a program to draw the following pattern:

*

* *

* * *

* * * *

* * * * *

(take a variable n which decides the number of rows, for above example, n=5)

THE CODE


Output:

* 
* * 
* * * 
* * * * 
* * * * * 
* * * * * *         
* * * * * * *       
* * * * * * * *     
* * * * * * * * *   
* * * * * * * * * *

Simplification:

In the above problem, the value of n is 10 (i.e., the number of rows are 10)

1. In the first for loop we have i as the counter variable with initial value of 1 and having a condition i.e. i should be less than or equal to n. It has a print statement after the second for loop, 

System.out.println();

which is used for changing the row, each time for the second for loop terminates.

2. In the second for loop we have j as the counter variable with initial value of 1 having a condition i.e. j should be less than or equal to i (the value of i will be as per the current ongoing iteration). Further it has an updation statement j++ Inside the second for loop, there is the print statement,

System.out.print("* ");

to print the stars(*) in a column wise manner.

Hope you liked this explanation, for any doubt you can comment down in the comment section.

Labels:

Popular posts from this blog

Bubble Sort | Java & Python | MyCodingNetwork | Alok Tripathi

  Bubble Sort is a simple sorting algorithm that works by repeatedly comparing and swapping adjacent elements in an array until they are in the correct order. It is called bubble sort because the smaller elements "bubble" to the top of the array, while the larger elements sink to the bottom. Quick Video Explanation: How Bubble Sort Works Bubble sort works by iterating through the array from left to right and comparing each pair of adjacent elements. If the element on the left is larger than the element on the right, they are swapped. This way, the largest element in the array moves to the rightmost position in each iteration. This process is repeated until no more swaps are needed, which means the array is sorted. To illustrate how bubble sort works, let's use the example of sorting the array [30,90,50,10,40] in ascending order. First Iteration/Pass: The first step is to compare the first two elements, 30 and 90. Since 30 is smaller than 90, they are already i
Discover More »

Insertion and Deletion of a Node in Linked List | Java | MyCodingNetwork

  Insertion of a new node & Deletion of an existing node After an exhilarating commencement of the Linked List series, in this post, we'll be exploring the artistry behind insertion and deletion operations in linked list. So let's now move on to the second problem statement of the series, i.e., write two functions for insertion and deletion of a node respectively, from linked list . Algorithm for inserting a node at pos position: Create a function insert () which takes head of the node, pos and the new node as the parameter. Take a base case, if pos==1, means the new node is to be made the head of the linked list. If the above case is not true, traverse the linked list and reach to position, pos-1 . Assign the new node with the address of the node at pos. Finally, assign the node at pos-1 with address of new node. Algorithm for deleting a node at pos position: Create a function deletion () which takes pos and the head of the LinkedList as parameter. Base case, if pos
Discover More »

Time Complexity in One Shot | MyCodingNetwork

  After exploring various aspect of programming, it's important to understand and calculate the amount of time our code takes to execute for a given size of input. The concept needed for this is called Time Complexity. In this article we will be exploring various aspects of Time Complexity and also solve numerous questions on it, so that we can have strong foundation of one of the most important aspect in the world of DSA. Introduction For a beginner the first question that should come to his/her mind is, "what is time complexity?". The answer is pretty simple, it is a measure of the amount of time an algorithm takes to complete as a function of the size of the input . It is important to analyze the time complexity of an algorithm because it helps us to compare different solutions and choose the most efficient one for a given problem.  In simple words (just to understand), one way to measure the time complexity of an algorithm is to count the number of iterations it perfo
Discover More »