Java 8 Lambda Expressions Examples using Calculator Implementation

lambda expressions examples
The article demonstrates the Lambda expressions using Calculator (interface) code samples. It also makes use of Functional interfaces from java.util.function package to demonstrate Calculator implementation using BiFunction and BinaryOperator interfaces.
Calculator Implementation Demonstrating Lambda Expressions

The Calculator methods implementation would be explained using both, traditional approach and the approach making use of Lambda expressions.

Traditional Approach

Using traditional approach, many would have gone implementing Calculator add, substract, multiply and divide function based on following:

  • Define a Calculator interface with four methods namely add, subtract, multiply and divide; Another approach could be to create a single method with an operation flag and provide conditional implementation based on flag.
  • Create a CalculatorImpl class implementing Calculator interface and providing implementation for each method. Simply speaking, these methods would have code such as a + b, a – b, a*b and a/b.

Another approach would have been based on anonymous class displayed in example below. However, it only struck me when I was writing code for Lambda expressions.

Lamba Expressions

With Lambda expressions in Java 8, the same could be achieved in following manner. (Interface)
Following can be termed as functional interface having just one method. The important point to note is that there is no need of writing separate methods. Also, one may not even need any conditional flag of any sort to execute different code for different operations.

public interface Calculator {
	public Double calculate( Double num1, Double num2 );
} (Class)

public class HelloCalculator {

	public double process( double num1, double num2, Calculator calculator ) {
		return calculator.calculate( num1, num2 );		

	public static void main(String[] args) {
		HelloCalculator hl = new HelloCalculator();

		// Traditional Way using Anonymous class
		System.out.println("Addition: " + hl.process(3, 4, new Calculator() {			
			public Double calculate(Double num1, Double num2) {				
				return num1 + num2;

		// Lambda Way; How simplified the code became
		Calculator calcSubtraction = (Double num1, Double num2) -> {
			return num1 - num2;
		System.out.println("Subtraction: " + hl.process(3, 4, calcSubtraction));

		// Lambda Way; Further simplification using Type Inference
		System.out.println("Multiplication: "
				+ hl.process(3, 4, (num1, num2) -> {
					return num1 * num2;

		System.out.println("Divide: " + hl.process(3, 4, (num1, num2) -> {
			return num1 / num2;


Calculator Implementation Demonstrating Lambda Expressions & Functional Interfaces

Using Out-of-box functional interfaces from java.util.function package, one could simply implement Calculator operations such as add, subtract, multiply and divide without having need to define any Calculator interface. Take a look at the code below.

Isn’t that very neat?


import java.util.function.BiFunction;
import java.util.function.BinaryOperator;

public class HelloCalculatorUsingBiFunction {

	public Long process( long num1, long num2, BiFunction biFunc ) {
		return (Long) biFunc.apply( num1, num2);

	public static void main(String[] args) {		
		HelloCalculatorUsingBiFunction hlbf = new HelloCalculatorUsingBiFunction();

		BinaryOperator add = (x, y) -> x + y;		
		System.out.println( "Addition: " + hlbf.process( 4, 5, add ));

		BinaryOperator subtract = (x, y) -> x - y;		
		System.out.println( "Subtraction: " + hlbf.process( 4, 5, subtract ));

		BinaryOperator multiply = (x, y) -> x/y;		
		System.out.println( "Multiplication: " + hlbf.process( 4, 5, multiply ));

		BinaryOperator division = (x, y) -> x/y;		
		System.out.println( "Division: " + hlbf.process( 4, 5, division ));


For another perspective on introduction to Lambda expressions, check out our article on this page.


Ajitesh Kumar

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.
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