2. Determine which characteristics of an algorithm de- scribed in the text (after Algorithm 1) the following pro- cedures have and which they lack. a) procedure double(n: positive integer) while n > 0 п:3 2n b) procedure divide(n: positive integer) while n > 0 т:3D 1/п

Computer Science Python programming language Please help me with these Review questions with as much explanation as possible. I really need to understand this

Recall that a bit string is a string of Os and 1s Describe the following sequence recursively. Include initial conditions and assume that the sequences begin with a₁. a₁ is the number of ways to go down an n-step staircase if you go down 1, 2, or 3 steps at a time.

Given three sequences of length m, n, and p each, you are to design and analyze an algorithm to find the longest common subsequence (LCSS) for the three sequence. Is it possible to use dynamic programming to find the LCSS between the three sequences? If yes, provide recursive solution to the above problem.

For each problem, please provide i. Describe the worst-case input (the input that would cause the largest running time) Summation used to calculate number of steps for the worst case Explanation of how the code relates to the summation ii. iii. a. (loops require discussing number of iterations and steps per iteration) b. (recursion requires a diagram) A O bound iv.

An algorithm should be clear of ambiguity if it has been thoroughly thought out.

2. R(N) is the running time of strange_sum when called on a List of length N. Since this is recursive code, your answer to iii should include a diagram of the recursion tree. a. Answer for li being an ArrayList b. Answer for li being a LinkedList static int strange_sum(List li) { return strange_sum_helper(li, 0, li.size() - 1); static int strange_sum_helper (List arr, int left, int right) { if (right - left < 0) return 0; else if (right else { int mid = (left + right) / 2; return strange_sum_helper(arr, left, mid) left 0) return arr.get(left); == + strange_sum_helper(arr, mid + 1, right); } }

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