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C949 – Chapter 8: Recursion, Western Governors University Latest Reviewed Study Guide (2026)

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This document provides a comprehensive study guide for C949 Chapter 8 on recursion at Western Governors University, updated for 2026. It covers key computer science concepts including recursive functions, base cases, recursive calls, call stack behavior, algorithm efficiency, divide-and-conquer strategies, and common recursion problems such as factorials, tree traversal, and searching. The material is designed to support structured revision, strengthen problem-solving skills, and improve understanding of recursive programming techniques.

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CH 8 Recursion
What is a function that calls itself known as?


Circular function

Self-calling function

Iterative function

Recursive function

In the given countdown example, what happens each time the count_down()
function is called?

A new global namespace is created

A new namespace is created for the local scope of the function

The script finishes

The function prints "GO!"

Which of the following is a definition of an algorithm?

An abstract representation of a function

A sequence of steps for solving a problem

A function that calls itself

A method of solving equations

What kind of algorithm would be best to minimize the number of guesses in
the given guessing game program?

Divide by 10s and then 1s approach

Binary search approach

Recursive approach

Incremental approach

, In the context of the guessing game, what is the function of the find(low,
high) function?

To define the range of possible numbers

To guess the midpoint of the range and then make recursive calls based on
the user's response

To generate a random number within the specified range

To print the midpoint of the range

In recursive functions, what is the end of the recursion known as?

Final statement

Recursive end

Exit case

Base case

In the example of a program to find an item in a sorted list, what does the
find() function do if it doesn't match the middle element and the window's
size is only one element?

It returns -1

It calls itself with an argument of 0

It performs a binary search on the lower half of the range

It performs a binary search on the upper half of the range

Can all recursive solutions be achieved using loops?

Yes, but using loops is generally less efficient

Yes, but recursive solutions may be clearer and more concise in some cases

No, recursive solutions are exclusive to recursive problems

No, loops cannot handle recursive problems

What kind of problems are good candidates for recursion?

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