ECE 250 Algorithms and Data Structures Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo,

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ECE 250 Algorithms and Data Structures Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo,
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Presentation transcript:

ECE 250 Algorithms and Data Structures Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo, Ontario, Canada ece.uwaterloo.ca © by Douglas Wilhelm Harder. Some rights reserved. Douglas Wilhelm Harder, M.Math. LEL Department of Electrical and Computer Engineering University of Waterloo Waterloo, Ontario, Canada ece.uwaterloo.ca © by Douglas Wilhelm Harder. Some rights reserved. In-Order Traversals

2 In-order traversals Outline In this topic we will look at: –In-order traversals of binary search trees –Limitations of in-order traversals with n -ary trees

3 In-order traversals In-order Traversals We’ve seen two depth-first traversals: –Pre-order –Post-order First and last visits during an Euler walk

4 In-order traversals In-order Traversals For binary trees, there is a third intermediate visit –An in-order depth-first traversal

5 In-order traversals In-order Traversals This visits a binary search tree in order A, B, C, D, E, F, G, H, I, J

6 In-order traversals Application An implementation of an in-order traversal template void Binary_tree ::in_order_traversal() const { if ( empty() ) { return; } left()->in_order_traversal(); cout << retrieve(); right()->in_order_traversal(); }

7 In-order traversals In-order traversals on expression trees Printing an expression tree (pretty printing or human-readable printing) using in-fix notation requires an in-order traversal (3x y)(z + 7)

8 In-order traversals Application class Expression_node; void Expression_node::pretty_print() { if ( !leaf() ) { // If the precedence of the parent is higher than that of the // current operator, we need to print an opening parenthesis if ( parent()->precedence() > precedence() ) { cout << "("; } // pre-order visit left()->pretty_print(); // traverse left tree } // The in-order step: print this object cout << this; // print this object

9 In-order traversals Application if ( !leaf() ) { right()->pretty_print(); // traverse right sub-tree // If the precedence of the parent is higher than that of the // current operator, we need to print a closing parenthesis if ( parent()->precedence() > precedence() ) { cout << ")"; } // post-order visit }

10 In-order traversals In-order traversals on general trees An in-order traversal does not make sense for either general trees or N -ary trees with N >

11 In-order traversals Summary In this topic, we have looked at: –In-order depth-first traversals –Limitations on N -ary and binary trees

12 In-order traversals References [1]Cormen, Leiserson, and Rivest, Introduction to Algorithms, MIT Press, 1990, §7.1-3, p.152. [2]Weiss, Data Structures and Algorithm Analysis in C++, 3 rd Ed., Addison Wesley, §6.5-6, p

13 In-order traversals Usage Notes These slides are made publicly available on the web for anyone to use If you choose to use them, or a part thereof, for a course at another institution, I ask only three things: –that you inform me that you are using the slides, –that you acknowledge my work, and –that you alert me of any mistakes which I made or changes which you make, and allow me the option of incorporating such changes (with an acknowledgment) in my set of slides Sincerely, Douglas Wilhelm Harder, MMath