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]==val) count= count + 1 } return count
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]==val) count= count + 1 } return count
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdcbbd1a9-d252-4439-a5e5-8136ff41f888%2Fbde6d18d-c8d0-4566-ba64-34e64f8f2ab2%2Fdde1fg9_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
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