'Bst operations' presentation slideshows

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Lecture 11: Binary Search Trees

Lecture 11: Binary Search Trees

Lecture 11: Binary Search Trees. Shang-Hua Teng. Keys. Keys. Entry. Satellite data. Data Format. Insertion and Deletion on dynamic sets. Insert(S,x) A modifying operation that augments the set S with the element pointed by x Delete

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752 views • 75 slides
AVL Trees

AVL Trees

AVL Trees. CSE 373 Data Structures Lecture 8. Readings. Reading Section 4.4, . Binary Search Tree - Best Time. All BST operations are O(d), where d is tree depth minimum d is for a binary tree with N nodes What is the best case tree? What is the worst case tree?

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680 views • 43 slides
Universal Hashing

Universal Hashing

Universal Hashing. When attempting to foil an malicious adversary, randomize the algorithm Universal hashing : pick a hash function randomly when the algorithm begins Guarantees good performance on average, no matter what keys adversary chooses Need a family of hash functions to choose from

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836 views • 43 slides
Topic 15

Topic 15

Topic 15. The Binary Search Tree ADT. Binary Search Tree. A binary search tree (BST) is a binary tree with an ordering property of its elements, such that the data in any internal node is Greater than the data in any node in its left subtree

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547 views • 42 slides
Medians and Order Statistics Structures for Dynamic Sets

Medians and Order Statistics Structures for Dynamic Sets

Medians and Order Statistics Structures for Dynamic Sets. The Selection Problem. The selection problem : find the i th smallest element of a set Two algorithms: A practical randomized algorithm with O(n) expected running time

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341 views • 34 slides
Medians and Order Statistics Structures for Dynamic Sets

Medians and Order Statistics Structures for Dynamic Sets

Medians and Order Statistics Structures for Dynamic Sets. The Selection Problem. The selection problem : find the i th smallest element of a set Two algorithms: A practical randomized algorithm with O(n) expected running time

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378 views • 34 slides
CSE332: Data Abstractions Lecture 25: Amortized Analysis

CSE332: Data Abstractions Lecture 25: Amortized Analysis

CSE332: Data Abstractions Lecture 25: Amortized Analysis. Sandra B. Fan Winter 2011. Announcements. Homework 8 due NOW Pick up Homeworks 1-7 after lecture from TAs Project 3 due last night 11pm Unless you are using late days Final exam is Tues, March 15, 2:30-4:20pm HERE

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428 views • 30 slides
CS 332: Algorithms

CS 332: Algorithms

CS 332: Algorithms. Go over exam Binary Search Trees. Exam. Hand back, go over exam. Review: Dynamic Sets. Next few lectures will focus on data structures rather than straight algorithms In particular, structures for dynamic sets Elements have a key and satellite data

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368 views • 25 slides
ITCS 6114

ITCS 6114

ITCS 6114. Binary Search Trees. Dynamic Sets. Next few lectures will focus on data structures rather than straight algorithms In particular, structures for dynamic sets Elements have a key and satellite data Dynamic sets support queries such as:

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366 views • 24 slides
CS 332: Algorithms

CS 332: Algorithms

CS 332: Algorithms. Binary Search Trees. Review: Dynamic Sets. Next few lectures will focus on data structures rather than straight algorithms In particular, structures for dynamic sets Elements have a key and satellite data Dynamic sets support queries such as:

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389 views • 24 slides
CS 332: Algorithms

CS 332: Algorithms

CS 332: Algorithms. Data Structures For Dynamic Sets Binary Search Trees. Dynamic Sets. Next few lectures will focus on data structures rather than straight algorithms In particular, structures for dynamic sets Elements have a key and satellite data

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365 views • 24 slides
CSC 413/513: Intro to Algorithms

CSC 413/513: Intro to Algorithms

CSC 413/513: Intro to Algorithms. Binary Search Trees. Binary Search Trees. Binary Search Trees (BSTs) are an important data structure for dynamic sets In addition to satellite data, elements have: key : an identifying field inducing a total ordering

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341 views • 24 slides
ITCS 6114

ITCS 6114

ITCS 6114. Binary Search Trees. Dynamic Sets. Next few lectures will focus on data structures rather than straight algorithms In particular, structures for dynamic sets Elements have a key and satellite data Dynamic sets support queries such as:

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256 views • 24 slides
CSE332: Data Abstractions Lecture 26: Amortized Analysis

CSE332: Data Abstractions Lecture 26: Amortized Analysis

CSE332: Data Abstractions Lecture 26: Amortized Analysis. Tyler Robison Summer 2010. Amortized Analysis . Recall our plain-old stack implemented as an array that doubles its size if it runs out of room How can we claim push is O ( 1 )?

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348 views • 19 slides
Trees 4: Associative Binary Tree Structures

Trees 4: Associative Binary Tree Structures

Trees 4: Associative Binary Tree Structures. Andy Wang Data Structures, Algorithms, and Generic Programming. Some Interesting Questions. How do you store a tree in a file? How do you use hash tables to implement trees?. Trees 4: Overview. Totally Ordered Trees [TOT] Binary Search Trees.

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284 views • 15 slides

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