Sunday, September 13, 2020

#196 Write a program to compare the execution

Write a program to compare the execution - Computer Science

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ChemistryExplain “#196 Write a program to compare the execution in Computer science, Ba computer science, Berkeley computer science, Computer science
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Free Chegg Question

Write a program to compare the execution time of method max in best case, and in worst case

ChemistryExplain “#196 Write a program to compare the execution in Computer science, Ba computer science, Berkeley computer science, Computer science

What array will make the above method always run in the best case?

What array will make the above method always run in the worst case?

Repeat the experiment with different sizes of the input array as follows:

ChemistryExplain “#196 Write a program to compare the execution in Computer science, Ba computer science, Berkeley computer science, Computer science

ChemistryExplain “#196 Write a program to compare the execution in Computer science, Ba computer science, Berkeley computer science, Computer scienceChemistryExplain “#196 Write a program to compare the execution in Computer science, Ba computer science, Berkeley computer science, Computer science

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Free Chegg Answer

EXAMPLE 3 SOLTION

CONSIDER 2 INPUTS

INPUT 1: 5 4 3 2 1

INPUT 2: 1 2 3 4 5

in exmple 3 both worst case and best will take same time to run because in for loop if condition is true theen the value of variable m will be update else loop will continue for next itration so overall complexity best case = worst case ==O(n) where n is the number of elements in array.

input best case comparisons worst case comparisons

10,000 10,000 10,000

100,000 100,000 100,000

500,000 500,000 500,000

1000,000 1000,000 1000,000

2000,000 2000,000 2000,000

example 4 solution for code 1.

the output of above mentioned input 5 1 3 2 4

output will be 5 6 9 11 15 sum of all previous iterated element for perticular index

complexity of above method will be

best case = worst case = O(n^2)

example 4 solution for code 2.

input = 5 1 3 2 4

output = 5 6 9 11 15

complexity of the second code will be

best case = worst case = O(n) only one time loop will be iterate

class Time {
public static void main(String[] args) {

long start = System.currentTimeMillis();

long total = 0;
for (int i = 0; i < 10000000; i++) {
total += i;
}

long stop = System.currentTimeMillis();
long elapsedTime = stop - start;
System.out.println(elapsedTime);
}
}

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