CSE 143 Lecture 19 Binary Trees read 17.1 - 17.2 slides created by Marty Stepp

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Presentation transcript:

CSE 143 Lecture 19 Binary Trees read slides created by Marty Stepp

2 Creative use of arrays/links Some data structures (such as hash tables and binary trees) are built around clever ways of using arrays and/or linked lists. –What array order can help us find values quickly later? –What if linked list nodes each had more than one link? index value front back

3 Trees tree: A directed, acyclic structure of linked nodes. –directed : Has one-way links between nodes. –acyclic : No path wraps back around to the same node twice. –binary tree: One where each node has at most two children. A tree can be defined as either: –empty ( null ), or –a root node that contains: data, a left subtree, and a right subtree. –(The left and/or right subtree could be empty.) root

4 Trees in computer science folders/files on a computer family genealogy; organizational charts AI: decision trees compilers: parse tree –a = (b + c) * d; cell phone T9 d+ *a = cb

5 Programming with trees Trees are a mixture of linked lists and recursion –considered very elegant (perhaps beautiful!) by CSE nerds –difficult for novices to master Common student remark #1: –"My code doesn't work, and I don't know why." Common student remark #2: –"My code works, and I don't know why."

6 Terminology node: an object containing a data value and left/right children root: topmost node of a tree leaf: a node that has no children branch: any internal node; neither the root nor a leaf parent: a node that refers to this one child: a node that this node refers to sibling: a node with a common root

7 Terminology 2 subtree: the tree of nodes reachable to the left/right from the current node height: length of the longest path from the root to any node level or depth: length of the path from a root to a given node full tree: one where every branch has 2 children root height = 3 level 1 level 2 level 3

8 A tree node for integers A basic tree node object stores data and refers to left/right Multiple nodes can be linked together into a larger tree leftdataright 42 leftdataright 42 leftdataright 59 leftdataright 27 leftdataright 86

9 IntTreeNode class // An IntTreeNode object is one node in a binary tree of ints. public class IntTreeNode { public int data; // data stored at this node public IntTreeNode left; // reference to left subtree public IntTreeNode right; // reference to right subtree // Constructs a leaf node with the given data. public IntTreeNode(int data) { this(data, null, null); } // Constructs a branch node with the given data and links. public IntTreeNode(int data, IntTreeNode left, IntTreeNode right) { this.data = data; this.left = left; this.right = right; }

10 IntTree class // An IntTree object represents an entire binary tree of ints. public class IntTree { private IntTreeNode overallRoot; // null for an empty tree methods } –Client code talks to the IntTree, not to the node objects inside it –Methods of the IntTree create and manipulate the nodes, their data and links between them overallRoot

11 IntTree constructor Assume we have the following constructors: public IntTree(IntTreeNode overallRoot) public IntTree(int height) –The 2nd constructor will create a tree and fill it with nodes with random data values from until it is full at the given height. IntTree tree = new IntTree(3); overallRoot

12 Exercise Add a method print to the IntTree class that prints the elements of the tree, separated by spaces. –A node's left subtree should be printed before it, and its right subtree should be printed after it. –Example: tree.print(); overallRoot

13 Exercise solution // An IntTree object represents an entire binary tree of ints. public class IntTree { private IntTreeNode overallRoot; // null for an empty tree... public void print() { print(overallRoot); System.out.println(); // end the line of output } private void print(IntTreeNode root) { // (base case is implicitly to do nothing on null) if (root != null) { // recursive case: print left, center, right print(overallRoot.left); System.out.print(overallRoot.data + " "); print(overallRoot.right); }

14 Template for tree methods public class IntTree { private IntTreeNode overallRoot;... public type name ( parameters ) { name(overallRoot, parameters ); } private type name (IntTreeNode root, parameters ) {... } Tree methods are often implemented recursively –with a public/private pair –the private version accepts the root node to process

15 Traversals traversal: An examination of the elements of a tree. –A pattern used in many tree algorithms and methods Common orderings for traversals: –pre-order:process root node, then its left/right subtrees –in-order:process left subtree, then root node, then right –post-order:process left/right subtrees, then root node overallRoot

16 Traversal example pre-order: in-order: post-order: overallRoot

17 Traversal trick To quickly generate a traversal: –Trace a path around the tree. –As you pass a node on the proper side, process it. pre-order: left side in-order: bottom post-order: right side pre-order: in-order: post-order: overallRoot

18 Give pre-, in-, and post-order traversals for the following tree: –pre: –in: –post: Exercise overallRoot

19 Exercise Add a method named printSideways to the IntTree class that prints the tree in a sideways indented format, with right nodes above roots above left nodes, with each level 4 spaces more indented than the one above it. –Example: Output from the tree below: overall root

20 Exercise solution // Prints the tree in a sideways indented format. public void printSideways() { printSideways(overallRoot, ""); } private void printSideways(IntTreeNode root, String indent) { if (root != null) { printSideways(root.right, indent + " "); System.out.println(indent + root.data); printSideways(root.left, indent + " "); }