'Linear probing' presentation slideshows

Collections and Algorithms 2

Collections and Algorithms 2. Selecting, hashing, trees, and alternatives to the JCF Triangle JUG presentation April 21, 2003 Stuart Halloway and Jim Scarborough. Presenter: Stuart Halloway. Chief Technical Officer at DevelopMentor ( www.develop.com ) provides training for software developers

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Searching Algorithms

Searching Algorithms. Briana B. Morrison With thanks to Dr. Hung. Topics. The searching problem Using Brute Force Lower Bounds Interpolation Search Searching in Trees Hashing Finding the k-th largest key. The searching problem .

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Hash Table

Hash Table. ??? Fall 2010 CSE, POSTECH. Dictionaries. Collection of pairs. (key, element) Pairs have different keys. e.g., gradebook, phone book, e-dictionary Operations. get(theKey) put(theKey, theElement) remove(theKey)

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Course Outline

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Course Outline

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Hashing

Hashing. Goal Perform inserts, deletes, and finds in constant average time Topics Hash table, hash function, collisions Collision handling Separate chaining Open addressing: linear probing , quadratic probing , double hashing Rehashing Load factor. Tree Structures.

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The Traveling Salesman Problem in Theory & Practice

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Skip List & Hashing

Skip List & Hashing. CSE, POSTECH. Introduction. The search operation on a sorted array using the binary search method takes O(log n ) The search operation on a sorted chain takes O( n ) How can we improve the search performance of a sorted chain?

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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 table

Hash table. A basic problem. We have to store some records and perform the following: add new record delete record search a record by key Find a way to do these efficiently!. Array as table. studid. name. score. 0012345. andy. 81.5. 0033333. betty. 90. 0056789. david. 56.8. .

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Hashing

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Hashing

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CSE 373 Data Structures and Algorithms

CSE 373 Data Structures and Algorithms. Lecture 17: Hashing II. Hash versus tree. Which is better, a hash set or a tree set?. Implementing Set ADT (Revisited). Probing hash tables. Alternative strategy for collision resolution: try alternative cells until empty cell found

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Tutorial 9

Tutorial 9. Sorting (3 rd part) & Hashing/Hash Table. Quick Sort. Key ideas: Partition (unsorted) list around a reference number (pivot) Left sub list will be smaller than pivot, right sub list will be larger (or equal) than pivot

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Lecture 6

Lecture 6 Hashing Motivating Example Want to store a list whose elements are integers between 1 and 5 Will define an array of size 5, and if the list has element j, then j is stored in A[j-1], otherwise A[j-1] contains 0. Complexity of find operation is O(1) Hash table

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Other Linked Structures

Other Linked Structures. Chapter 9. Variants of Singly-Linked Lists. Purpose : to make algorithms for some basic list operations to be simpler more efficient Linked stacks and queues Linked lists with head and/or trailer nodes Circular linked lists. Linked List Stack.

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Overflow Handling

Overflow Handling. An overflow occurs when the home bucket for a new pair (key, element) is full. We may handle overflows by: Search the hash table in some systematic fashion for a bucket that is not full. Linear probing (linear open addressing). Quadratic probing. Random probing.

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