'Table size' 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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BGP in 2009

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Summary From the Last Lecture

Summary From the Last Lecture. We spoke about defense challenges Crypto introduction Secret key, public algorithms Symmetric, asymmetric crypto, one-way hashes Attacks on cryptography Cyphertext -only, known plaintext, chosen plaintext, MITM, brute-force Types of ciphers

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SECTION 3 SKILLS Customizing a Presentation

SECTION 3 SKILLS Customizing a Presentation. 3.1 Use the Clipboard Task Pane 3.2 Find and Replace Text 3.3 Insert WordArt 3.3 Format WordArt 3.4 Draw Shapes 3.4 Customize Shapes CHECKPOINT 1 3.5 Display Gridlines 3.5 Insert a Text Box 3.5 Copy and Rotate Shapes

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Chapter 11 Hash Tables

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Main Index

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Chapter 11: Data Warehousing

Chapter 11: Data Warehousing. Modern Database Management Jeffrey A. Hoffer, Mary B. Prescott, Fred R. McFadden. Objectives. Definition of terms Reasons for information gap between information needs and availability Reasons for need of data warehousing

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Chapter 13 C

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Time-Memory tradeoffs in password cracking

Time-Memory tradeoffs in password cracking. Basic Attacks. Dictionary attack: What if password is chosen well? Brute Force (online version): Try all N possible passwords. Space: O(1); Time: O(N) Brute Force with pre-computation Offline: keep hashes of all N possible passwords in DB

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DATA ADDRESS PREDICTION

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Hashing

Hashing. 0 1 2 3. Search Key. Black Box. n-3 n-2 n-1. A hash function must: Be relatively easy and quick to calculate. Evenly distribute the keys throughout the table. Be easily repeatable for Finds and Deletes. Deal with collisions. (Collision Resolutions).

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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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G-Confid: Turning the tables on disclosure risk

G-Confid: Turning the tables on disclosure risk. Joint UNECE/ Eurostat Work Session on Statistical Data Confidentiality Ottawa, Canada 30 October 2013. Peter Wright. G-Confid: a cell suppression application. Use with any table size and any number of dimensions

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Hashing

Hashing . Chapter 10 . The search time of each algorithm depend on the number n of elements of the collection S of the data. A searching technique called Hashing or Hash addressing which is essentially independent of the number n.

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An Analytical Model Relating FPGA Architecture Parameters to Routability

An Analytical Model Relating FPGA Architecture Parameters to Routability. Joydip Das, Steve Wilton University of British Columbia. Funded by Altera and NSERC. Why do we need analytical model for FPGA architecture design?. Challenge 4: How to do better?. Challenge 1:

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Sherline Model 5000 Milling Machine

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Hashing for dummies 1

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