'Hash tables' diaporamas de présentation

CSE 332 Data Abstractions: B Trees and Hash Tables Make a Complete Breakfast

CSE 332 Data Abstractions: B Trees and Hash Tables Make a Complete Breakfast. Kate Deibel Summer 2012. The national data structure of the Netherlands. hash tables. Hash Tables. A hash table is an array of some fixed size Basic idea: The goal:

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CSE332: Data Abstractions Lecture 11: Hash Tables

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Maps, Hash Tables and Dictionaries

Maps, Hash Tables and Dictionaries. Chapter 10.1, 10.2, 10.3, 10.5. Outline. Maps Hashing Dictionaries Ordered Maps & Dictionaries. Outline. Maps Hashing Dictionaries Ordered Maps & Dictionaries. Maps. A map models a searchable collection of key-value entries

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Text Processing & Data Structures for NLP A Tutorial (CSE 562/662)

Text Processing & Data Structures for NLP A Tutorial (CSE 562/662). Kristy Hollingshead Fall 2008 www.cslu.ogi.edu/~hollingk/NLP_tutorial.html. regexp Text Processing Overview. The goal here is to make your lives easier! NLP is very text-intensive Simple tools for text-manipulation

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Hash Tables and Sets

Hash Tables and Sets. Dictionaries, Hash Tables, Collisions Resolution, Sets. Svetlin Nakov. Telerik Corporation. www.telerik.com. Dictionaries Hash Tables Dictionary<TKey, TValue> Class Sets. Table of Contents. Dictionaries. Data Structures that Map Keys to Values.

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Hash Tables and Sets

Hash Tables and Sets. Dictionaries, Hash Tables, Collisions Resolution, Sets. Svetlin Nakov. Telerik Corporation. www.telerik.com. Dictionaries Hash Tables Dictionary<TKey, TValue> Class Sets. Table of Contents. Dictionaries. Data Structures that Map Keys to Values.

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Implementing Signatures for Transactional Memory

Implementing Signatures for Transactional Memory. Daniel Sanchez , Luke Yen, Mark Hill, Karu Sankaralingam . University of Wisconsin-Madison. Executive summary. Several TM systems use signatures : Represent unbounded read/write sets in bounded state

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Software Architecture and Design BITS C461/IS C341 Software Engineering First Semester 2003-2004

Software Architecture and Design BITS C461/IS C341 Software Engineering First Semester 2003-2004. Aditya P. Mathur Department of Computer Science Purdue University. Last update: September 2, 2003. Organization. Part I: Design principles Part II: Design Patterns-I Part III: OO Design

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A Fast File System for Unix

A Fast File System for Unix. Marshall K. McKusick , William N. Joy, Samuel J. Leffler , Robert S. Fabry Computer Science Research Group, University of California , Berkeley. 1984 Presented By:Aravind Subhash. Basic Unix File Abstraction and System Calls. Unix abstraction

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Sets and Maps

Sets and Maps. Chapter 9. Chapter Objectives. To understand the Java Map and Set interfaces and how to use them To learn about hash coding and its use to facilitate efficient search and retrieval

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Topic 22 Hash Tables

Topic 22 Hash Tables. " hash collision n. [from the techspeak ] (var. `hash clash') When used of people, signifies a confusion in associative memory or imagination, especially a persistent one (see thinko ).

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TCSS 342

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Perl Chapter 5

Perl Chapter 5. Hashes. Hashes. Outside of world of Perl, know as associative arrays Also called hash tables Perl one of few languages that has hashes built-in. Structure of Hashes. Hashes are lists of scalar values BUT have string indices (called keys) keys also stored in structure

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Introduction to Python

Introduction to Python. Usman Roshan. Python. Interpreter language: the Python interpreter executes each statement one at a time. No compilation or linking is required. Python programs are called scripts which are simple text files. To execute a script we pass it through the interpreter.

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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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Queues

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NSPR API Overview

NSPR API Overview . Srinivas Lingutla Wan-Teh Chang Lawrence Hardiman. NSPR 2.0. Netscape Portable Runtime Provides OS/system-level services with a platform- independent API. General purpose platform for use by clients and servers Supported on a large number of platforms including

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String ($ var ) arrays (@array) conversion and substring extraction

String ($ var ) arrays (@array) conversion and substring extraction. Lecture 6. Split strings. This function can be used to split (divide) data: Strings into an arrays. Strings into a list of scalars ($variables)

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