Important information: throughout this exam paper, "logo" refers to the binary logarithm, i.e., log (n) = log₂ (n). We a

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Important Information Throughout This Exam Paper Logo Refers To The Binary Logarithm I E Log N Log N We A 1 (90.74 KiB) Viewed 12 times

Important information: throughout this exam paper, "logo" refers to the binary logarithm, i.e., log (n) = log₂ (n). We also write log log n as an abbreviation for log (log(n)), and log (n) as an abbreviation for log (n). As in the lectures, arrays start at index 0. For example, an array A of length n consists of the elements A[0] A[1] up to A[n - 1] This question (1a-1h) is about Big-O notation and loop invariants. Which of the following functions are in O(n)? Select all that apply. n+5 + • √nlog² n • n²/log n +