notes-recursion - Notes on Recursive Functions Preface Last...

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Notes on Recursive Functions Last modified: 8/5/08 Preface This page is a "how-to" on setting up recursive functions for introductory and intermediate programming courses. There are a lot of other applications and there's plenty of theory out there, but I'm not going to go into that. Here's one particularly good presentation that defines recursion; I shall not attempt to recreate what's already been done well -- I'll just link to it instead. My goal here is to familiarize you with the basics of how to create and use recursive functions. Parts of Recursive Definitions Before we write a recursive function, it's more or less essential to write a recursive definition (or do some form of pre-writing). Recursive functions work based on the values of their parameters. For the sake of simplicity to start out, we'll look at recursive functions with one parameter, n , assumed to be an integer. ALL recursive definitions are broken up into two parts: Base Values of n: usually (not always) n = 0 and/or n = 1. Idea: For these values of n , the function is defined simply. The function returns a preset value, e.g. 0, 1, the value of one of the other parameters, etc. Examples: f(0) == 0 and f(1) == 1 f(0) == parameter2 Recursive Values of n : usually higher values of n , e.g. n >= 2. Idea: For higher values of n , the function is defined in terms of itself for a different value of n (which I'll refer to as f(changed n ) below). There are some considerations. The value of n in the recursive call needs to change in such a way that it is working toward one (of the) base case(s). Usually we add or subtract something from n . We occasionally multiply or divide n by something (illustrated much further below). The value of f( n ) is obtained by doing something to f(changed n ), e.g. a combination of one of more of the following: Adding something to f(changed n ). Subtracting something from f(changed n ). Multiplying f(changed n ) by something.
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Dividing f(changed n ) by something. If we treat subtracting a as adding -a and dividing by b as multiplying by 1/ b, we can summarize with the following generalization: f( n ) = (f(changed n ) + a ) * b + c. Examples: Assuming a base case of f(0) exists and n is positive, f( n ) = f( n -1) + 1 f( n ) = f( n -1) / 5 f( n ) = f( n -1) * n Assuming base cases of f(0) and f(1) exist and n >= 2, f( n ) = f( n -2) * ( n -3) f( n ) = (f( n -2) - 1)/ n As you hopefully observed from the examples, the recursive cases make assumptions about the base cases existing. Therefore, you should define the base case first. Everybody's Favorite Example No discussion of recursion would be complete without the factorial example from mathematics.* Base case: To find the base case for the factorial, we must think about what values of n have preset values of n! . Factorial is simply defined for zero, i.e.
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notes-recursion - Notes on Recursive Functions Preface Last...

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