la. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { count = 0 for i=1 to n { if (a[i] = count } return count == val) count + 1 1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as O notation. 1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation.
la. Find the complexity of the algorithm as Big O notation: countValue(a, n, val) { count = 0 for i=1 to n { if (a[i] = count } return count == val) count + 1 1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the algorithm as O notation. 1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the algorithm as Big O notation.
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![1a. Find the complexity of the algorithm as Big O notation:
countValue(a, n, val)
{
count = 0
for i=1 to n {
if (a[i] == val)
count count + 1
}
return count
1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the
algorithm as Big O notation.
1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the
algorithm as Big O notation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdcbbd1a9-d252-4439-a5e5-8136ff41f888%2F96df6eb4-275f-49f3-81d8-00e2e2ef72f6%2F875tked_processed.jpeg&w=3840&q=75)
Transcribed Image Text:1a. Find the complexity of the algorithm as Big O notation:
countValue(a, n, val)
{
count = 0
for i=1 to n {
if (a[i] == val)
count count + 1
}
return count
1b. Write the algorithm which sorts the array by using the merge sort algorithm. Then find the complexity of the
algorithm as Big O notation.
1c. Write the algorithm which sorts the array by using the quick sort algorithm. Then find the complexity of the
algorithm as Big O notation.
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