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CMPT 225

CMPT 225

Binary Search Trees. CMPT 225. Objectives. Understand tree terminology Understand and implement tree traversals Define the binary search tree property Implement binary search trees Implement the TreeSort algorithm. Tree Terminology. Trees.

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902 views • 69 slides
Course Review

Course Review

Course Review. 15-211 Fundamental Structures of Computer Science. Ananda Guna May 04, 2006. This course was about. How to solve computing problems using: Problem analysis , to abstract away details and divide into smaller subproblems.

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616 views • 58 slides
Introduction to Computer Science 2 Lecture 14: Balanced Binary Search Trees

Introduction to Computer Science 2 Lecture 14: Balanced Binary Search Trees

Introduction to Computer Science 2 Lecture 14: Balanced Binary Search Trees. “Trees with reorganization and limited path length difference”. Balanced Binary Trees. Motivation: natural search trees can degenerate In worst case search can cost  (n)! Example: for n = 10 6 Elements

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645 views • 50 slides
Heapsort

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

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519 views • 26 slides
Binary Search Trees

Binary Search Trees

Binary Search Trees. 7/16/2009. Important Dates. Project 2 due DESIGN, DESIGN, DESIGN!!! You may have 0 or 1 partner. NO EXCEPTIONS! Friday 7/24/2009 – 10pm Project 2 – time to work in lab Monday 7/20/2009 Midterm Review Saturday 7/26/2009 – 1-4pm in 306 Soda Midterm 2

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276 views • 26 slides
TREES

TREES

TREES. “I wish that I could ever see a poem as lovely as a tree…”. TREES. hierarchical structures parent-child relationship. A. B. C. D E F. TREES. • The parent-child relationship exists between nodes . • A is the parent node of B and C • B,C are children of A

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458 views • 24 slides

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