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  1. Lecture 15: Recursive Algorithms 3 . Re-using Subproblem Solutions • Draw subproblem dependencies as a DAG • To solve, either: – Top down: record subproblem solutions in a …

  2. • To design a recursive algorithm: 1. Think of the simplest possible input: that becomes the base case 2. Imagine that we know a solution to the problem of a smaller size. Think of the steps …

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  3. –Introduce algorithm design techniques and recursion –Introduce three problems that have recursive solutions –Describe the general approach of recursive algorithms

  4. Recursion The Three Laws of Recursion 1.A recursive algorithm must have a base case 2.A recursive algorithm must change its state and move toward the base case 3.A recursive …

  5. We will now look at using recursion to solve problems that make use of a couple of simple data structures. First, recall the linked-list data structure that we created in the last chapter. It is a …

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  6. An efficient recursive Fib int Fib ( int, int, int, int); void main() {int n; scanf("%d", &n); if (n == 0 || n ==1) printf("F(%d) = %d \n", n, 1); else printf("F(%d) = %d \n", n, Fib(1,1,n,2));} int Fib(int m1, …

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  7. • In programming, recursion is a call to the same method from a method • Why write a method that calls itself? • a method to to solve problems by solving easier instance of the same …

  8. We've already seen how to analyze the running time of algorithms. However, to analyze recursive algorithms, we require more sophisticated techniques. Speci cally, we study how to de ne & …

  9. When you consider a recursive function, you should answer the following: Base Case: What is the smallest sub-problem? What is the trivial solution? Recursive Step: How can I reduce my …

  10. Every recursive algorithm involves at least two cases: • base case: The simple case; an occurrence that can be answered directly; the case that recursive calls reduce to. • recursive …

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