Step by Step solution about How to resolve the algorithm Catamorphism step by step in the Java programming language

Java Code to Demonstrate Reduction Operations on Streams

Explanation:

This Java code illustrates the use of reduction operations on Java streams, which allow you to combine elements of a stream to produce a single result.

1. Summing Elements Using sum():

Stream.of(1, 2, 3, 4, 5).mapToInt(i -> i).sum()

• Stream.of(1, 2, 3, 4, 5): Creates a stream containing the integers 1 to 5.
• mapToInt(i -> i): Converts the stream of Integer objects to a stream of int primitives.
• sum(): Computes the sum of the elements in the stream and prints the result (15).

2. Multiplying Elements Using reduce():

Stream.of(1, 2, 3, 4, 5).reduce(1, (a, b) -> a * b)

• reduce(1, (a, b) -> a * b): Performs a reduction on the stream using an identity value of 1 and a binary operator (a, b) -> a * b that multiplies each pair of elements.
• a and b are the current values of the accumulator and the next element in the stream, respectively.
• The result (120) is the product of all elements in the stream.

Output:

15
120

Benefits of Using Reduction Operations:

Reduction operations provide a concise and efficient way to aggregate or combine elements of a stream into a single result. They can be used in various scenarios, such as:

• Summing values
• Computing averages
• Finding maximum or minimum values
• Joining strings
• Combining data from multiple sources

import java.util.stream.Stream;

public class ReduceTask {

    public static void main(String[] args) {
        System.out.println(Stream.of(1, 2, 3, 4, 5).mapToInt(i -> i).sum());
        System.out.println(Stream.of(1, 2, 3, 4, 5).reduce(1, (a, b) -> a * b));
    }
}