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Engineering
Data Structures and Algorithms
Find the complexity of the traditional algorithms as Big O notation: Find the total of the array elements sum(a, n) { } result = 0 { for i=1 to n if (result < a[i]) result = a[i] return result - Find the maximum element of the array max(a, n) total = 0 for i=1 to n total = total + a[i] return total

Find the complexity of the traditional algorithms as Big O notation: Find the total of the array elements sum(a, n) { } result = 0 { for i=1 to n if (result < a[i]) result = a[i] return result - Find the maximum element of the array max(a, n) total = 0 for i=1 to n total = total + a[i] return total

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Find the complexity of the traditional algorithms as Big O notation: - Find the total of the array elements sum(a, n) { } { result = 0 } for i = 1 to n if (result < a[i]) result = a[i] - Find the maximum element of the array max(a, n) return result total = 0 for i=1 to n total = total + a[i] return total
Transcribed Image Text:Find the complexity of the traditional algorithms as Big O notation: - Find the total of the array elements sum(a, n) { } { result = 0 } for i = 1 to n if (result < a[i]) result = a[i] - Find the maximum element of the array max(a, n) return result total = 0 for i=1 to n total = total + a[i] return total
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