Find the quotient machine of the following DFA. Please use a different marker for each iteration of the algorithm.

- Question Completion Status: Quèstion 7 (Big-O Analysis) Total number of comparisons in algorithm A is 2n2 +n+1 and total number of comparisons in algorithm B is 2nlog(n) + 8n, where 'n' is input size. (The base of log is 2). Order of algorithm A is O( (a) ). Order of algorithm B is O( (b)). What is (a) and (b) ? O (a): n2, (b): n2 o (a): n2, (b): nlog(n) (a): n, (b): nlog(n) (a): n2 +n, (b): log(n) ows b A Moving to another question will save this response.

Please solve in Python. DO NOT use spicy library. The expected output is: True

define iteration.

10. Please just type the answer.

Express the linear search algorithm as a recursive procedure

Order the following functions by asymptotic growth rate (number 1 is the best algorithm, and number 3 is the worst). 4nlog n+2n 2log n n3 + 2

i = 1 while (i < n) do s = s + i i = i * 2 enddo Is the step count dependent on which term?

A thoroughly thought-out algorithm should be clear of ambiguity.