PPT-Chapter 8 – Binary Search Tree

83 Implementing a BinaryTree Class 1 Attendance Quiz 27 Binary Search Trees 2 Tip 29 Iterator Requirements Binary Search Trees 3 Iterators open the door for expression readability maintenance and reusability. Abstract Data Types . and Subprograms. 2. Chapter Goals. Distinguish between an . array-based. . visualization and a . linked. . visualization. Distinguish between an . array . and a . list. Distinguish between and a . CIS 606. Spring 2010. Search trees. Data structures that support many dynamic-set operations.. Can . be used as both a dictionary and as a priority queue.. Basic . operations take time proportional to the height of the tree.. CS 46101 Section 600. CS 56101 Section 002. . Dr. Angela Guercio. Spring 2010. Search trees. Data structures that support many dynamic-set operations.. Can . be used as both a dictionary and as a priority queue.. Yan Shi. CS/SE 2630 Lecture Notes. Partially adopted from C++ Plus Data Structure textbook slides. Review: Binary Search . in a Sorted . Array Based List. Examines the element in the middle of the array. . Yan Shi. CS/SE 2630 Lecture Notes. Partially adopted from C++ Plus Data Structure textbook slides. Review: Binary Search . in a Sorted . Array Based List. Examines the element in the middle of the array. . D. D. . Sleator. and R. E. . Tarjan. | AT&T Bell Laboratories. Journal of the ACM . | Volume 32 | Issue 3 | Pages 652-686 | 1985. Presented By: . James A. Fowler, Jr. | November 30, 2010. George Mason University | Fairfax, Virginia. Abstract Sorted Lists. Background. Definition and examples. Implementation:. Front, back, insert, erase. Previous smaller and next larger objects. Finding the . k. th. object. Abstract Sorted Lists. 8.6 Huffman Trees. 1. Attendance Quiz #29. Trees. 2. Tip #31: size() vs empty(). Should size() or empty() be used to test for container empty?. Trees. 3. bool empty() const. {. return (size() == 0); // BAD??. (§10.1). A binary search tree is a binary tree storing keys (or key-element pairs) at its internal nodes and satisfying the following property:. Let . u. , . v. , and . w. be three nodes such that . To learn how to use a tree to represent a hierarchical organization of information. To learn how to use recursion to process trees. To understand the different ways of traversing a tree. To understand the differences between binary trees, binary search trees, and heaps. To learn how to. use a tree to represent a . hierarchical organization . of information. use recursion to process trees. implement . binary trees, binary search trees. , and . heaps. using linked data structures and . Lecture 16. 150309.. CUSACK CHAPT 4.. Agenda. HW5: Questions / Discussion. . Queues: finish.. . Trees: BST. . Prop Logic Intro. Will be on final.. HW5. What should occupy the Queue?. . Where should History live?. Topic 18 Binary Trees "A tree may grow a thousand feet tall, but its leaves will return to its roots." -Chinese Proverb 2 Definitions A tree is an abstract data type one entry point, the root 6. 9. 2. 4. 1. 8. <. >. =. © 2014 Goodrich, Tamassia, Goldwasser. Presentation for use with the textbook . Data Structures and Algorithms in Java, 6. th. edition. , by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014.