'Hashing functions' diaporamas de présentation

CSC 211 Data Structures Lecture 31

CSC 211 Data Structures Lecture 31. Dr. Iftikhar Azim Niaz ianiaz@comsats.edu.pk. 1. Last Lecture Summary. Dictionaries Concept and Implementation Table Concept, Operations and Implementation Array based, Linked List, AVL, Hash table Hash Table Concept Hashing and Hash Function

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Overview(1)

Overview. Overview(1). O(1) access to files Variation of the relative file Record number for a record is not arbitrary; rather, it is obtained by a hashing function H applied to the primary key, H(key)

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Lesson 5-Cryptography

Lesson 5-Cryptography. Background. Cryptography is the science of encrypting information. The desire to hide information from others extends to ancient times. Writing enabled individuals to share information. Later, people also wanted to hide information.

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CHAPTER 14: Hashing

CHAPTER 14: Hashing. Java Software Structures: Designing and Using Data Structures Third Edition John Lewis & Joseph Chase. Chapter Objectives. Define hashing Examine various hashing functions Examine the problem of collisions in hash tables

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Hashing

Hashing. Hashing. In the collections we have discussed thus far, we have made one of three assumptions regarding order: Order is unimportant. Example set Order is determined by the way elements are added. Example stacks, queues and list.

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CS235102 Data Structures

CS235102 Data Structures. Chapter 8 Hashing (Concentrating on Static Hashing ). Chapter 8 Hashing: Outline. The Symbol Table Abstract Data Type Static Hashing Hash Tables Hashing Functions Mid-square Division Folding Digit Analysis Overflow Handling

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Xianglong Liu 1 , Yadong Mu 2 , Bo Lang 1 and Shih-Fu Chang 2

Compact Hashing for Mixed Image-Keyword Query over Multi-Label Images. Xianglong Liu 1 , Yadong Mu 2 , Bo Lang 1 and Shih-Fu Chang 2 1 Beihang University, Beijing, China 2 Columbia University, New York, USA. Outline. Introduction Motivation Our Solution Boosted Shared Hashing Formulation

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Dynamics of Some Maps Associated with Number Theoretic Functions.

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Integers

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This is a title

This is a title. Titles make PowerPoint happy. Up-Trees. (not as much work as it looks) Perform Disjoint Union-Find operations on Up-Tree with path compression and using weight (# of nodes) in merges. Starting with empty tree.

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Exam 3 Review

Exam 3 Review. Data structures covered: Priority queues and binary heaps Hashing Skip lists Disjoint sets Graphs For each of these data structures Basic idea of data structure and operations Be able to work out small example problems Prove related theorems Advantages and limitations

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Review Exam 3

Review Exam 3. Data structures covered: Hashing Priority queues and binary heaps Skip lists Disjoint sets Graphs For each of these data structures Basic idea of data structure and operations Be able to work out small example problems Prove related theorems Advantages and limitations

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