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C++ Program to Generate All Subsets of a Given Set in the Lexico Graphic Order

Paul Richard
Paul Richard
Updated on 30-Jul-2019 529 Views

This is C++ Program to Generate All Subsets of a Given Set in the Lexico Graphic Order. This algorithm prints all the possible combination of each length from the given set of array in increasing order. The time complexity of this algorithm is O(n*(2^n)).AlgorithmBegin    For each length ‘i’ GenAllSubset() function is called:    1) In GenAllSubset(), if currLen is more than the reqLen then return.    2) Otherwise, if currLen is equal to reqLen then there will be a new sequence generated, print it.    3) If proceed with a start as ‘true’ and recursively call GenAllSubset() with incremented ...

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Generate Infinite Stream of Integers in Java using IntStream.generate()

Nancy Den
Nancy Den
Updated on 30-Jul-2019 204 Views

You can also generate Infinite Stream of Integers in Java with IntStream.generate() method. Here, we have used the Random class to get the list of random integers:Random r = new Random();After that use IntStream.generate() and the nextInt() method gets the next random integer:IntStream.generate(r::nextInt)The following is an example displaying how to generate Infinite Stream of Integers with IntStream.generate() in Java:import java.util.stream.*; import java.util.*; public class Main {    public static void main(String[] args) {       Random r = new Random();       IntStream.generate(r::nextInt).forEach(System.out::println);    } }Here is the output:565757777 3535363636 9879879879 -686549988

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What the different types of JSTL tags are ?

Samual Sam
Samual Sam
Updated on 30-Jul-2019 705 Views

The JSTL tags can be classified, according to their functions, into the following JSTL tag library groups that can be used when creating a JSP page −Core TagsFormatting tagsSQL tagsXML tagsJSTL Functions

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C++ Program to Perform Edge Coloring of a Graph

Paul Richard
Paul Richard
Updated on 30-Jul-2019 740 Views

In this program, we will perform Edge Coloring of a Graph in which we have to color the edges of the graph that no two adjacent edges have the same color. Steps in Example.AlgorithmBegin    Take the input of the number of vertices, n, and then number of edges, e, in the graph.    The graph is stored as adjacency list.    BFS is implemented using queue and colors are assigned to each edge. EndExample#include using namespace std; int n, e, i, j; vector g; vector color; bool v[111001]; void col(int n) {    queue q;    int c = ...

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C++ Program to Perform Edge Coloring on Complete Graph

Arjun Thakur
Arjun Thakur
Updated on 30-Jul-2019 401 Views

A complete graph is a graph which has a connecting edge between any pair of vertices. This is a C++ Program to Perform Edge Coloring on Complete Graph.AlgorithmBegin    Take the input of the number of vertices ‘n’.    Construct a complete graph using e=n*(n-1)/2 edges, in ed[][].    Function EdgeColor() is used to Color the graph edges.    A) Assign color to current edge as c i.e. 1 initially.    B) If the same color is occupied by any of the adjacent edges, then       discard this color and go to flag again and try next color. ...

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C++ Program to Find Strongly Connected Components in Graphs

Anvi Jain
Anvi Jain
Updated on 30-Jul-2019 757 Views

Weakly or Strongly Connected for a given a directed graph can be found out using DFS. This is a C++ program of this problem.Functions usedBegin Function fillorder() = fill stack with all the vertices.    a) Mark the current node as visited and print it    b) Recur for all the vertices adjacent to this vertex    c) All vertices reachable from v are processed by now, push v to Stack End Begin Function DFS() :    a) Mark the current node as visited and print it    b) Recur for all the vertices adjacent to this vertex EndExample#include ...

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Add a value to Triplet class in JavaTuples

Samual Sam
Samual Sam
Updated on 30-Jul-2019 244 Views

The addAtX() method is used to add value to the Triplet Tuple. The index can be set here with the X i.e. the place where the value gets added.Let us first see what we need to work with JavaTuples. To work with Triplet class in JavaTuples, you need to import the following package −import org.javatuples.Triplet;Here, we have used Quartet class also, therefore import the following −import org.javatuples.Quartet;Note − Steps to download and run JavaTuples program If you are using Eclipse IDE to run Triplet Class in JavaTuples, then Right Click Project → Properties → Java Build Path → Add External ...

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LongStream map() method in Java

Daniol Thomas
Daniol Thomas
Updated on 30-Jul-2019 167 Views

The map() method of the LongStream class in Java returns a stream consisting of the results of applying the given function to the elements of this stream.The syntax is as follows:LongStream map(LongUnaryOperator mapper)Here, the parameter mapper is a stateless function to apply to each element. The LongUnaryOperator represents an operation on a single long-valued operand that produces a long-valued result.To use the LongStream class in Java, import the following package:import java.util.stream.LongStream;Create a LongStream and add some elements:LongStream longStream1 = LongStream.of(15L, 30L, 45L, 67L, 80L);Now, create another LongStream and map it to a condition set for the elements of longStream1:LongStream longStream2 ...

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How to drop constraint on a column of a table in a database using JDBC API?

Vrundesha Joshi
Vrundesha Joshi
Updated on 30-Jul-2019 396 Views

You can drop a constraint on a column of a table using the ALTER TABLE command.SyntaxALTER TABLE table_name DROP CONSTRAINT MyUniqueConstraint;Assume we have a table named Dispatches in the database with 7 columns namely id, CustomerName, DispatchDate, DeliveryTime, Price and, Location with description as shown below:+--------------+--------------+------+-----+---------+-------+ | Field        | Type         | Null | Key | Default | Extra | +--------------+--------------+------+-----+---------+-------+ | ProductName  | varchar(255) | YES  | UNI | NULL    | | | CustomerName | varchar(255) | YES  |     | NULL    | ...

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C++ Program to Find the Connected Components of an UnDirected Graph

Smita Kapse
Smita Kapse
Updated on 30-Jul-2019 991 Views

Weakly or Strongly Connected for a given a undirected graph can be found out using DFS. This is a C++ program of this problem.Functions usedBegin Function fillorder() = fill stack with all the vertices.    a) Mark the current node as visited and print it    b) Recur for all the vertices adjacent to this vertex    c) All vertices reachable from v are processed by now, push v to Stack End Begin Function DFS() :    a) Mark the current node as visited and print it    b) Recur for all the vertices adjacent to this vertex EndExample#include ...

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