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2013-T2 Lecture 22 School of Engineering and Computer Science, Victoria University of Wellington  Marcus Frean, Lindsay Groves, Peter Andreae, and Thomas.

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Presentation on theme: "2013-T2 Lecture 22 School of Engineering and Computer Science, Victoria University of Wellington  Marcus Frean, Lindsay Groves, Peter Andreae, and Thomas."— Presentation transcript:

1 2013-T2 Lecture 22 School of Engineering and Computer Science, Victoria University of Wellington  Marcus Frean, Lindsay Groves, Peter Andreae, and Thomas Kuehne VUW COMP 103 Thomas Kuehne Traversing Trees

2 2 RECAP-TODAY RECAP  Building and Traversing Binary Trees TODAY  Depth-First vs Breadth-First Traversal  Chapter 16.2 ANNOUNCEMENTS  no new assignment this week  prepare for TEST 2, on Monday, 7/10, 10.00

3 3 Depth-First Traversal in General Trees  Visit the subtree under each child before going to the next child  Pre-order: process the node, then process the subtrees  Post-order: process the subtrees, then process the node A B D E C H G MI K F L J

4 4 Depth-first Traversal, recursively  e.g., list all employee names  Use recursion (and iteration to step through the children) public void listAll() { System.out.println(this.name); for (OrgTreeNode child : this.children) child.listAll(); } Which traversal order does this implement?

5 5  Need to remember what nodes are still being worked on, and which of their children have been processed already  In a recursive depth-first traversal (eg. "ListAll" from earlier), activation stacks take care of the bookkeeping! A 1.print own name 2.process children... 3.return Managing Depth-First Traversal A B D E C H G MI K F L J B 1.print own name 2.process children... 3.return D 1.print own name 2.process children... 3.return …

6 6 Breadth-first Traversal  What about printing the nodes by level?  root first  then second level,  then third level, …. A B Julie Jenny D E F C Jenny Jude Jiles I…. A B D E C H G MI K F L J

7 7 Tracking State during Breadth-First Traversal  Breadth-First Traversal  What nodes do we have to remember?  Which order do we work on them? A B D E C H G MI K F L J

8 8 public void BreadthFirstTraversal(TreeNode root) { Queue todo = new LinkedList (); todo.offer(root); // add while (! todo.isEmpty()) { TreeNode node = todo.poll(); // remove System.out.println(node.name()); for (TreeNode child : node.getChildren()) todo.offer(child); } } Breadth-first Traversal: Use a Queue! Look Ma’, no recursion! A B D E C H G MI K F L J

9 9 public void DepthFirstTraversal(TreeNode root) { Stack todo = new Stack (); todo.push(root); // add while (! todo.isEmpty()) { TreeNode node = todo.pop(); // remove System.out.println(node.name()); for (TreeNode child : node.getChildren()) todo.push(child); } Depth-First Traversal: Use a Stack! A B D E C H G MI K F L J Look Ma’, no recursion! Which traversal order does this implement?

10 10  What do we need to remember? In-order Traversal, iteratively? + x / -2514 73

11 11 Depth-First vs Breadth-First  Depth-First:  Visit one child and all of its descendants before its siblings  May visit root before, after, or between its children  +Requires only one branch to manage traversal!  − May find “costly” results first, and may not find results at all (infinite search trees)  Breadth-First (level-order):  Visit nodes in order of increasing depth  May choose nodes in a level in a specific order  − Requires accumulation of levels to manage traversal  +Finds minimal solutions and guarantees success!


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