<< Chapter < Page Chapter >> Page >
Baldwin explains the use of overloaded methods for the purpose of achieving compile-time polymorphism.

Revised: Thu Mar 31 11:22:34 CDT 2016

This page is included in the following Books:

Table of contents

Preface

This module is one of a series of modules designed to teach you about the essence of Object-Oriented Programming (OOP) using Java.

Viewing tip

I recommend that you open another copy of this document in a separate browser window and use the following links to easily find and view the listings while you are reading about them.

Listings

  • Listing 1 . Definition of the class named A.
  • Listing 2 . Definition of the class named B.
  • Listing 3 . Definition of the driver class named Poly01.
  • Listing 4 . Complete program listing.

Preview

Previous modules introduced overloading and overriding methods. This module concentrates on the use of method overloading to achieve compile-time polymorphism .

Every class in Java is a direct or indirect subclass of the class named Object . Methods defined in the class named Object are inherited into all other classes. Inherited methods that are not declared final may be overridden to make their behavior more appropriate for objects instantiated from the new class.

Overloaded methods have the same name and different formal argument lists. They may or may not have the same return type.

Polymorphism manifests itself in Java in the form of multiple methods having the same name. This module concentrates on method overloading, sometimes referred to as compile-time polymorphism . Subsequent modules concentrate on method overriding, sometimes referred to as runtime polymorphism .

Overloaded methods may all be defined in the same class, or may be defined in different classes as long as those classes have a superclass-subclass relationship.

Discussion and sample code

Three concepts

In an earlier module, I explained that most books on OOP will tell you that in order to understand OOP, you must understand the following three concepts:

  • Encapsulation
  • Inheritance
  • Polymorphism

I agree with that assessment.

Encapsulation and inheritance

Previous modules in this series have explained Encapsulation and Inheritance. This module will tackle the somewhat more complex topic of Polymorphism.

Overloading and overriding methods

In the modules on inheritance, you learned a little about overloading and overriding methods (you will learn more about these concepts as you progress through these modules) . This module concentrates on the use of overloaded methods to achieve compile-time polymorphism.

Real-world scenarios

The sample programs that I used in the previous modules in this series dealt with two kinds of car radios:

  • Plain car radios
  • Car radios having built-in tape players

I couched those programs in a real-world scenario in an attempt to convince you that encapsulation and inheritance really do have a place in the real world.

Questions & Answers

how do you get the 2/50
Abba Reply
number of sport play by 50 student construct discrete data
Aminu Reply
width of the frangebany leaves on how to write a introduction
Theresa Reply
Solve the mean of variance
Veronica Reply
Step 1: Find the mean. To find the mean, add up all the scores, then divide them by the number of scores. ... Step 2: Find each score's deviation from the mean. ... Step 3: Square each deviation from the mean. ... Step 4: Find the sum of squares. ... Step 5: Divide the sum of squares by n – 1 or N.
kenneth
what is error
Yakuba Reply
Is mistake done to something
Vutshila
Hy
anas
hy
What is the life teble
anas
hy
Jibrin
statistics is the analyzing of data
Tajudeen Reply
what is statics?
Zelalem Reply
how do you calculate mean
Gloria Reply
diveving the sum if all values
Shaynaynay
let A1,A2 and A3 events be independent,show that (A1)^c, (A2)^c and (A3)^c are independent?
Fisaye Reply
what is statistics
Akhisani Reply
data collected all over the world
Shaynaynay
construct a less than and more than table
Imad Reply
The sample of 16 students is taken. The average age in the sample was 22 years with astandard deviation of 6 years. Construct a 95% confidence interval for the age of the population.
Aschalew Reply
Bhartdarshan' is an internet-based travel agency wherein customer can see videos of the cities they plant to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400 a. what is the probability of getting more than 12,000 hits? b. what is the probability of getting fewer than 9,000 hits?
Akshay Reply
Bhartdarshan'is an internet-based travel agency wherein customer can see videos of the cities they plan to visit. The number of hits daily is a normally distributed random variable with a mean of 10,000 and a standard deviation of 2,400. a. What is the probability of getting more than 12,000 hits
Akshay
1
Bright
Sorry i want to learn more about this question
Bright
Someone help
Bright
a= 0.20233 b=0.3384
Sufiyan
a
Shaynaynay
How do I interpret level of significance?
Mohd Reply
It depends on your business problem or in Machine Learning you could use ROC- AUC cruve to decide the threshold value
Shivam
how skewness and kurtosis are used in statistics
Owen Reply
yes what is it
Taneeya
Got questions? Join the online conversation and get instant answers!
Jobilize.com Reply

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Object-oriented programming (oop) with java. OpenStax CNX. Jun 29, 2016 Download for free at https://legacy.cnx.org/content/col11441/1.201
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Object-oriented programming (oop) with java' conversation and receive update notifications?

Ask