Programming Articles - Page 1874 of 3366

An array is a linear data structure that is used to store a group of elements with similar datatypes. It stores data in a sequential manner. Once we create an array we can't change its size i.e. it can store a fixed number of elements. The array comes with a vast application and use case. Also, we can perform numerous operations on arrays. This article will help you to understand the basics of arrays and also, we will make java programs to perform right and left rotation operations on arrays. Java Program for Array Rotation First, let's understand the term ... Read More

In this article, we will learn how to print a sequence of numbers in Java, ranging from 0 to 15. To do this, we'll use recursion rather than using loops like for loop or while loop. Recursion is a programming technique where a method calls itself to perform a sub-operation as necessary. Problem Statement Write a Java program to print Number series without using any loop Output The numbers without using a loop have been printed below0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, Java program to print number series without using ... Read More

Following is the Java program for largest K digit number divisible by X −Example Live Demoimport java.io.*; import java.lang.*; public class Demo{    public static int largest_k(int val_1, int val_2){       int i = 10;       int MAX = (int)Math.pow(i, val_2) - 1;       return (MAX - (MAX % val_1));    }    public static void main(String[] args){       int val_1 = 25;       int val_2 = 2;       System.out.println("The largest 2 digit number divisible by 25 is ");       System.out.println((int)largest_k(val_1, val_2));    } }OutputThe largest 2 ... Read More

In this program, we find the length of the longest increasing subsequence (LIS) in an integer array using Java programming language. An increasing subsequence is a sequence of numbers where each number is greater than the previous one. The program uses a dynamic programming approach to compute the longest increasing subsequence efficiently. This technique involves building a solution using previously computed results. Problem Statement Write a Java program to get the length of the longest increasing subsequence − Input 10, 22, 9, 33, 21, 50, 41, 60 Output The length of the longest increasing subsequence is 5 Steps get ... Read More

The easiest way to write text and obtain it as an output is done by using writeLines function and cat function, and the output of these functions are connected with the help fileConn and sink.Example> fileConn writeLines(c("TutorialsPoint", "SIMPLY EASY LEARNING"), fileConn) > close(fileConn)We can do the same and view these files in R as follows −> fileConn writeLines(c(paste("TutorialsPoint", "E-learning"), "2006", "Video Courses", "Tutorials", "Books"), fileConn) > close(fileConn) > file.show("example.txt")Using sink function> sink("example3.txt") > cat("TutorialsPoint", "E-learning") > cat("") > cat("2006") > cat("") > cat("Video Courses") > cat("") > cat("Tutorials") > cat("") > cat("Books") > sink()Using only cat function> cat("TutorialsPoint E-learning", ... Read More

The main difference between require and library is that require was designed to use inside functions and library is used to load packages. If a package is not available then library throws an error on the other hand require gives a warning message.Using library> library(xyz) Error in library(xyz) : there is no package called ‘xyz’Using requirerequire(xyz) Loading required package: xyz Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘xyz’Here we can see that the library shows an error and require gives a warning message, since warnings are mostly avoided ... Read More

The error “could not find function” occurs due to the following reasons −Function name is incorrect. Always remember that function names are case sensitive in R.The package that contains the function was not installed. We have to install packages in R once before using any function contained by them. It can be done as install.packages("package_name")The package was not loaded before using the function. To use the function that is contained in a package we need to load the package and it can be done as library("package_name").Version of R is older where the function you are using does not exist.If you ... Read More

An inner join return only the rows in which the left table have matching keys in the right table and an outer join returns all rows from both tables, join records from the left which have matching keys in the right table. This can be done by using merge function.ExampleInner Join> df1 = data.frame(CustomerId = c(1:5), Product = c(rep("Biscuit", 3), rep("Cream", 2))) > df1   CustomerId Product 1 1 Biscuit 2 2 Biscuit 3 3 Biscuit 4 4 Cream 5 5 Cream > df2 = data.frame(CustomerId = c(2, 5, 6), City = c(rep("Chicago", 2), rep("NewYorkCity", 1))) > df2 CustomerId City ... Read More

The use of set.seed is to make sure that we get the same results for randomization. If we randomly select some observations for any task in R or in any statistical software it results in different values all the time and this happens because of randomization. If we want to keep the values that are produced at first random selection then we can do this by storing them in an object after randomization or we can fix the randomization procedure so that we get the same results all the time.ExampleRandomization without set.seed> sample(1:10) [1] 4 10 5 3 1 6 ... Read More

This can be done by using list function.Example> df1