Data Structures and Algorithms in Java
Data Structures and Algorithms in Java
6th Edition
ISBN: 9781119278023
Author: Michael T. Goodrich; Roberto Tamassia; Michael H. Goldwasser
Publisher: Wiley Global Education US
bartleby

Concept explainers

Expert Solution & Answer
Book Icon
Chapter 3, Problem 13R

Explanation of Solution

Difference between “shallow equality” and “deep equality” tests:

Shallow equality testDeep equality test
It compares the references for equality. That is, checking the memory address is same for both objects “a” and “b”.It compares for objects equivalence. That is, checking two objects “a” and “b” are logically equal.
It compares by using the “==”.It compares using the “equals()” method.

For one-dimensional array:

Shallow equality test for one-dimensional arrayDeep equality test for one-dimensional array
It compares the immediate contents of two array objects to determine whether the two array values are equal.It compares the contents of two array objects repeatedly until all primitive fields are equal.

For example:

int[] a = {1};

int[] b = {1};

for(int i = 0; i <a.length ; i++)

{

if(a[i] == b[i])

return true;

}

For example:

int[] a = {1, 2, 3};

int[] b = {1, 2, 3};

if(Arrays.equals(a, b))

return true;

Explanation:

“==” helps to compare the immediate content of “a” and “b” array and then return true.

Explanation:

“equals()” method helps to compare the content of “a” and “b” array repeatedly to compare all primitive fields and then return true.

For two-dimensional array:

Shallow equality test for two-dimensional arrayDeep equality test for two-dimensional array
It compares the immediate contents of two array objects to determine whether the two array values are equal...

Blurred answer
Students have asked these similar questions
Using the notation

you can select multipy options
For each of the following, decide whether the claim is True or False and select the True ones: Suppose we discover that the 3SAT can be solved in worst-case cubic time. Then it would mean that all problems in NP can also be solved in cubic time. If a problem can be solved using Dynamic Programming, then it is not NP-complete. Suppose X and Y are two NP-complete problems. Then, there must be a polynomial-time reduction from X to Y and also one from Y to X.
Knowledge Booster
Background pattern image
Computer Science
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
New Perspectives on HTML5, CSS3, and JavaScript
Computer Science
ISBN:9781305503922
Author:Patrick M. Carey
Publisher:Cengage Learning
Text book image
C++ Programming: From Problem Analysis to Program...
Computer Science
ISBN:9781337102087
Author:D. S. Malik
Publisher:Cengage Learning
Text book image
C++ for Engineers and Scientists
Computer Science
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Course Technology Ptr
Text book image
Systems Architecture
Computer Science
ISBN:9781305080195
Author:Stephen D. Burd
Publisher:Cengage Learning
Text book image
CMPTR
Computer Science
ISBN:9781337681872
Author:PINARD
Publisher:Cengage
Text book image
EBK JAVA PROGRAMMING
Computer Science
ISBN:9781337671385
Author:FARRELL
Publisher:CENGAGE LEARNING - CONSIGNMENT