6Trees and Graphs
Trees and graphs are common data structures, so both are fair game in a programming interview. Tree problems are more common, however, because they are simple enough to implement within the time constraints of an interview and enable an interviewer to test your understanding of recursion and runtime analysis. Graph problems are important but often more time-consuming to solve and code, so you won’t see them as frequently.
Unlike the previous chapter’s focus on implementations in C, this and subsequent chapters focus on implementations in more modern object-oriented languages.
TREES
A tree is made up of nodes (data elements) with zero, one, or several references (or pointers) to other nodes. Each node has only one other node referencing it. The result is a data structure that looks like Figure 6-1.
As in a linked list, a node is represented by a structure or class, and trees can be implemented in any language that includes pointers or references. In object-oriented languages you usually define a class for the common parts of a node and one or more subclasses for the data held by a node. For example, the following are the C# classes you might use for a tree of integers:
public class Node {
public Node[] children;
}
public class IntNode : Node {
public int value;
}
In this definition, children
is an array that keeps track of all the nodes that ...
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