# 'Left child' presentation slideshows

## Binary Trees

Binary Trees. Linear data structures. Here are some of the data structures we have studied so far: Arrays Singly-linked lists and doubly-linked lists Stacks, queues, and deques Sets These all have the property that their elements can be adequately displayed in a straight line

By Audrey
(223 views)

By bobby
(543 views)

## Priority Queues

Priority Queues. Priority queue. A stack is first in, last out A queue is first in, first out A priority queue is least-first-out The “smallest” element is the first one removed (You could also define a largest-first-out priority queue)

By iphigenie
(270 views)

## Left Child-Right Sibling Representation

Left Child-Right Sibling Representation. Instructor : Prof. Jyh-Shing Roger Jang Designer ： Shao-Huan Wang The ideas are reference to the textbook “Fundamentals of Data Structures in C “. Left Child-Right Sibling Representation. Replaced by the left child-right sibling representation. M.

By petra
(684 views)

## Priority Queues

Priority Queues. Priority queue. A stack is first in, last out A queue is first in, first out A priority queue is least-first-out The “smallest” element is the first one removed (You could also define a largest-first-out priority queue)

By colton
(185 views)

## Binary Trees

Binary Trees. Linear data structures. Here are some of the data structures we have studied so far: Arrays Singly-linked lists and doubly-linked lists Stacks, queues, and deques Sets These all have the property that their elements can be adequately displayed in a straight line

By benjamin
(202 views)

## CMSC 341

CMSC 341. Splay Trees. 21. 12. 32. 37. 20. 24. 40. 15. 55. 56. 77. Problems with BSTs. Because the shape of a BST is determined by the order that data is inserted, we run the risk of trees that are essentially lists. BST Sequence of Operations.

By quinto
(171 views)

## Heapsort

Heapsort. Based off slides by: David Matuszek . http://www.cis.upenn.edu/~matuszek/cit594-2008/. Previous sorting algorithms. Insertion Sort O(n 2 ) time Merge Sort O(n) space. Heap data structure. Binary tree Balanced Left-justified or Complete

By lindsey
(139 views)

## Binary Search Trees (Continued)

Binary Search Trees (Continued). Study Project 3 Solution Balanced Binary Search Trees Balancing Operations Reading: L&C 11.1 – 11.4. Study Project 3 Solution. Project 3 was due before class today Discuss solution. Balanced Binary Search Trees.

By delu
(205 views)

## Binary Search Tree (BST)

Binary Search Tree (BST). Properties: Each node has a value The left subtree contains only values less than the parent node’s value The right subtree contains only values greater than or equal to the parent node’s value. BST Example. BST Search Algorithm. if the root is NULL then

By chip
(119 views)

## Red-Black Trees

Red-Black Trees. Bottom-Up Deletion. Recall “ordinary” BST Delete. If node to be deleted is a leaf, just delete it. If node to be deleted has just one child, replace it with that child (splice)

By celestine
(148 views)

## Chapter 21 The Binary Heap

Chapter 21 The Binary Heap. Bernard Chen Spring 2006. What’s priority queue. Problem: find MIN and Delete . Possible methods: unsorted array sorted array Binary Search tree. What’s Binary Heap.

By diep
(114 views)

## Trees

Trees. Main and Savitch Chapter 10. Binary Trees. A binary tree has nodes , similar to nodes in a linked list structure. Data of one sort or another may be stored at each node. But it is the connections between the nodes which characterize a binary tree. A Binary Tree of States.

By balthasar
(160 views)

## AVL Trees

AVL Trees. It’s a balancing act. Binary Tree Problems. If you get either sorted or reverse-sorted input, you essentially get a linked list (always following either the right or left child respectively) This can yield searches on the order of n

By tate
(77 views)

## Max-Heapify Example

?. ?. ?. ?. 86. 65. 41. 86. 13. 65. 9. 98. 32. 29. 44. 23. 21. 10. 44. 17. 17. 17. 17. 17. Max-Heapify Example. left child is greater. right child is greater. children of 2: 2*2, 2*2+1 = 4, 5. children of root: 2*1, 2*1+1 = 2, 3. 17. 86. 17. 65. 44. 17. 17.

By aldon
(239 views)

## 22C:19 Discrete Structures Trees

22C:19 Discrete Structures Trees. Spring 2014 Sukumar Ghosh. What is a tree?. Rooted tree: recursive definition. Rooted tree terminology. Rooted tree terminology. A subtree. Rooted tree terminology. Important properties of trees. Important properties of trees.

By ghazi
(119 views)

## Problem of the Day

Problem of the Day. You are trapped alone in a dark room with: Candle; Wood stove ; and Gas lamp (with full tank). You only have one match; what do you light 1 st ?. Problem of the Day. You are trapped alone in a dark room with: Candle; Wood stove ; and Gas lamp (with full tank).

By finley
(93 views)

## Binary Trees

Binary Trees . Chapter 6. 6.1 Trees, Binary Trees, and Binary Search Trees . Linked lists usually are more flexible than arrays, but it is difficult to use them to organize a hierarchical representation of objects.

By koto
(264 views)

## Handbook of Constraint Programming 10.5.1, 10.5.2

Handbook of Constraint Programming 10.5.1, 10.5.2. Presented by: Shant Karakashian Symmetries in CP, Sprint 2010. Outline. Symmetry Breaking During Search (SBDS) Example: 8-Queens Adding Constraints Correctness Implementations Problems Symmetry Breaking via Dominance Detection (SBDD)

By mae
(146 views)

## Analysis of Algorithms CS 477/677

Analysis of Algorithms CS 477/677. Instructor: Monica Nicolescu Lecture 10. Red-Black Trees. “Balanced” binary trees guarantee an O(lgn) running time on the basic dynamic-set operations Red-black tree

By viola
(95 views)

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