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Heaps Is this a heap Why or why not Is this a heap Why or why not Heap OperationsAs mentioned earlier there are two basic operations to be Inserting an item into the heapFinding and removing th. vs.. Balanced Search Tree. Why care about advanced implementations?. Same entries, different insertion sequence. :. 10,20,30,40,50,60,70,.  . Not good! Would like to keep tree balanced.. 40,60,20,50,70,10,30. 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 . Topics to be discussed….. Trees Data Structures. Trees. Binary Search Trees. Tree traversal. Types of Binary Trees. Threaded binary trees. Applications . Trees Data Structures. Tree. Nodes. Each node can have 0 or more . 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. . When: . Thursday. , 12/12, 3:30-5:30 . PM. Where: . Ritter . Hall - Walk Auditorium 131. Chapter Objectives. To learn how to. use a tree to represent a . hierarchical organization . of information. use recursion to process trees. 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??. Dynamic Sets / Dictionaries. Binary Search Trees. Haim . Kaplan, Uri . Zwick. March 2018. 2. Dictionaries/Dynamic sets. Maintain . a set of . items. .. Each . item. has . key . and. info. fields.. 8.3 Implementing a . Binary_Tree. 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.. 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 . A binary . heap. . is a binary tree (2 or fewer subtrees for each node). A . heap is structured so that the node with the most relevant data is the root node, the next most relevant as the children of the root, etc. Announcements. Submit P1 Conflict quiz on CMS by end of day Wednesday. We won’t be sending confirmations; no news is good news. Extra time people will eventually get an email from Lacy. Please be patient.. 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?.