Find the complexity of the traditional algorithms as Big O notation: - Find the average of the array elements average(a, n) { sum= 0 count = 0 for i=1 to n { sum = sum + a[i] count = count + 1 } return sum/ count } - Find the minimum value of the array elements min(a, n) { } min = a[i] for i=1 to n if (min> a[i]) min = a[i] return min
Find the complexity of the traditional algorithms as Big O notation: - Find the average of the array elements average(a, n) { sum= 0 count = 0 for i=1 to n { sum = sum + a[i] count = count + 1 } return sum/ count } - Find the minimum value of the array elements min(a, n) { } min = a[i] for i=1 to n if (min> a[i]) min = a[i] return min
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![Find the complexity of the traditional algorithms as Big O notation:
Find the average of the array elements
average(a, n)
{
sum= 0
count=0
for i=1 to n {
sum = sum + a[i]
count = count + 1
}
return sum/ count
}
- Find the minimum value of the array elements
min(a, n)
{
}
min = a[i]
for i=1 to n
if (min> a[i])
min = a[i]
return min](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F676c2a72-2dc6-4daa-8824-6f013a8120dd%2F9f1453d5-829a-493a-8bbb-be9d12f5f38e%2Fpcgumw8_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Find the complexity of the traditional algorithms as Big O notation:
Find the average of the array elements
average(a, n)
{
sum= 0
count=0
for i=1 to n {
sum = sum + a[i]
count = count + 1
}
return sum/ count
}
- Find the minimum value of the array elements
min(a, n)
{
}
min = a[i]
for i=1 to n
if (min> a[i])
min = a[i]
return min
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