Hash Tables and Applications

Mar 30, 2019

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Data Structures. Hash Tables and Applications. Design and Analysis of Algorithms I. Hash Table: Supported Operations. Application: De-Duplication. Application: The 2-SUM Problem. Further Immediate Applications.

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Hash Tables and Applications

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Data Structures Hash Tables and Applications Design and Analysis of Algorithms I
Hash Table: Supported Operations
Application: De-Duplication
Application: The 2-SUM Problem
Further Immediate Applications

Hash Tables

Hash Tables. Group Members: Syed Husnain Bukhari SP10-BSCS-92 Ahmad Inam SP10-BSCS-06 M.Umair Sharif SP10-BSCS-38. Description. A hash table is a data structure that stores things and allows insertions, lookups, and deletions to be performed in O(1) time.

478 views • 23 slides

Hash Tables

Hash Tables. 0. . 1. 025-61-0001. 2. 981-10-0002. 3. . 4. 451-22-0004. Recall the Map ADT. Map ADT methods: get (k): if the map M has an entry with key k, return its assoiciated value; else, return null

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Hash Tables

Hash Tables. Objectives. Understand the basic structure of a hash table and its associated hash function Understand what makes a good (and a bad) hash function Understand how to deal with collisions Open addressing Separate chaining Be able to implement a hash table

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Hash Tables

Hash Tables. CS 46101 Section 600 CS 56101 Section 002 Dr. Angela Guercio Spring 2010. Hash tables. Many applications require a dynamic set that supports only the dictionary operations INSERT , SEARCH, and DELETE. Example: a symbol table in a compiler.

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Hash Tables

Hash Tables. a hash table is an array of size Tsize has index positions 0 .. Tsize-1 two types of hash tables closed hash table array element type is a <key, value> pair all items stored in the array Chained (open) hash table

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Hash Tables

Hash Tables. ADT Data Dictionary, with two operations Insert an item, Search for (and retrieve) an item How should we implement a data dictionary? Maintain a sorted array; use binary search Use sophisticated trees (later in curriculum) Use an array as a “hash table”.

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Distributed hash tables Protocols and applications

Distributed hash tables Protocols and applications. Jinyang Li. Peer to peer systems. Symmetric in node functionalities Anybody can join and leave Everybody gives and takes Great potentials Huge aggregate network capacity, storage etc. Resilient to single point of failure and attack

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Hash Tables

Hash Tables. Hash tables. Definition: A data structure that uses a hash function to map keys into index of an array element. k1. k5. k2. k3. k4. Some properties of hash table. Size of hash table (Example will be shown.)

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Hash Tables

Hash Tables. Saurav Karmakar. Motivation. What are the dictionary operations? (1) Insert (2) Delete (3) Search (most of the time, we will be focusing on search). Objective. Searching takes Θ (n) time in the worst case (when the data is unorganized).

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Hash Tables

Hash Tables. Tonga Institute of Higher Education. Introduction. Hash tables are another data structure that can hold data. Advantages Hash tables are very good at insertion and searching No matter how much data you have, insertions, searches and sometimes deletions are close to O(1) time

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Hash Tables

Hash Tables. Hash Tables A "faster" implementation for Map ADTs. Outline What is hash function? translation of a string key into an integer Consider a few strategies for implementing a hash table linear probing quadratic probing separate chaining hashing. Big Ohs using different

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Hash Tables

Hash Tables. How well do hash tables support dynamic set operations? Implementations Direct address Hash functions Collision resolution methods Universal hash functions Detailed analysis of hashing methods. Hash Tables and Dynamic Sets. Dynamic set operations and hash tables Search(S,k)

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Hash Tables

Hash Tables. Briana B. Morrison Adapted from William Collins. Sequential Search. Given a vector of integers: v = {12, 15, 18, 3, 76, 9, 14, 33, 51, 44} What is the best case for sequential search? O(1) when value is the first element What is the worst case?

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Hash Tables

Hash Tables. Professor Jennifer Rexford COS 217. Goals of Today’s Lecture. Motivation for hash tables Examples of (key, value) pairs Limitations of using arrays and linked lists Hash tables Hash table data structure Hash functions Example hashing code Implementing “mod” efficiently

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Hash Tables

Hash Tables. What is a Hash Table?. Container of elements where each element has an associated key Each key is mapped to a value that determines the table cell where element should be placed Mapping is called the hash function. Hash Table Operations. size() isEmpty()

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Hash Tables

Hash Tables. 0. . 1. 025-612-0001. 2. 981-101-0002. 3. . 4. 451-229-0004. Maps and the Map ADT. Mathematically, a Map is a set of ordered pairs whose elements are known as the key and the value Keys are required to be unique, but values are not necessarily unique

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Hash Tables

Hash Tables. Chapter 12 discusses several ways of storing information in an array, and later searching for the information. Hash tables are a common approach to the storing/searching problem. Data Structures and Other Objects Using C++. Serial Search.

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Hash Tables

Hash Tables. Overview. Information Retrieval Review: Binary Search Trees Hashing. Applications. Example. Hash Functions. Example: Bibliography. R. Kruse , C. Tondo, B. Leung, “Data Structures and Program Design in C”, 1991, Prentice Hall.

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