8- Determine if each of the following recursive definition is a valid recursive definition of a function f from a set of non-negative integers. Iff is well defined, find a formula for f(n) where n is non- negative and prove that your formula is valid. a. f(0) = 2,f(1) = 3,f(n) = f(n-1) - 1 for n ≥ 2 b. f(0) = 1,f(1) = 2,f(n) = 2f (n-2) for n = 2
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- Question 3 Full explain this question and text typing work only thanks..Consider the following sequence and answer the questions 2, 7, 14, 23, 34, . (1) Develop the recursive solution to identify numbers in the list. (2) Develop the closed-form solution of the recursive solution you made in the previous question.I really need help with this problem, I don't understand it
- Give a recursive definition for the set POWERS-OF-TWO = {1 2 4 8 16 ....} and use your definition to prove that the product of two POWERS-OF-TWO is also a POWER-OF-TWOa. Correctness of dynamic programming algorithm: Usually, a dynamic programming algorithm can be seen as a recursion and proof by induction is one of the easiest way to show its correctness. The structure of a proof by strong induction for one variable, say n, contains three parts. First, we define the Proposition P(n) that we want to prove for the variable n. Next, we show that the proposition holds for Base case(s), such as n = 0, 1, . . . etc. Finally, in the Inductive step, we assume that P(n) holds for any value of n strictly smaller than n' , then we prove that P(n') also holds. Use the proof by strong induction properly to show that the algorithm of the Knapsack problem above is correct. b. Bounded Knapsack Problem: Let us consider a similar problem, in which each item i has ci > 0 copies (ci is an integer). Thus, xi is no longer a binary value, but a non-negative integer at most equal to ci , 0 ≤ xi ≤ ci . Modify the dynamic programming algorithm seen at class for this…What is s(s(0))*s(s(s(s(0))))*
- Suppose a recursive function f(n)=3f(n-1) + 2. If f(0)=1, what is f(2)? 53 17 13 O O O OCan you please help me solve problem 2?A. Construct a RECURSIVE solution for following iterative solution to find a value in a circular-linked list B. Analyze the runtime complexity (correctly explain the scenario, show how much work would be done, and represent the work using asymptotic notations, i.e. big O), of the given iterative solution and your recursive solution for the best case scenario and the worse case scenario. C. prove the correctness of your recursive solution by induction /**@param value - a value to search for@return true if the value is in the list and set the current reference to itotherwise return false and not updating the current reference*/public boolean find(T value){ if(this.cur == null) return false; //get out, nothing is in here Node<T> tmp = this.cur; //start at the current position if(tmp.data == value) return true; // found it at the starting location tmp = tmp.next; //adv. to next node, if there is one while(tmp != cur) { if(tmp.data == value){ this.cur = tmp;…
- Consider the following sequence and answer the questions 3, 12, 27, 48, 75, . (1) Develop the recursive solution to identify numbers in the list. (2) Develop the closed-form solution of the recursive solution you made in the previous question.6. Recursive Algorithms i. Give a recursive algorithm (not a formula!) for finding na where n is a positive integer and a is a real number. Prove that your algorithm is correct.Let ∑={a,b} and T be the set of words in ∑* that have an equal number of a’s and b’s. (a) Give a recursive definition for the set T. (b) Show that abbaba is in T by building up from the base case through recursion. (c) Is your recursive definition uniquely determined?