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C++ Data Structures and Algorithms

You're reading from   C++ Data Structures and Algorithms Learn how to write efficient code to build scalable and robust applications in C++

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835213
Length 322 pages
Edition 1st Edition
Languages
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Author (1):
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Wisnu Anggoro Wisnu Anggoro
Author Profile Icon Wisnu Anggoro
Wisnu Anggoro
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Table of Contents (10) Chapters Close

1. Learning Data Structures and Algorithms in C++ 2. Storing Data in Lists and Linked Lists FREE CHAPTER 3. Constructing Stacks and Queues 4. Arranging Data Elements Using a Sorting Algorithm 5. Finding out an Element Using Searching Algorithms 6. Dealing with the String Data Type 7. Building a Hierarchical Tree Structure 8. Associating a Value to a Key in a Hash Table 9. Implementation of Algorithms in Real Life 10. Other Books You May Enjoy

Implementing the open addressing technique


As we discussed earlier at beginning of this chapter, an open addressing technique stores all elements in the hash table itself. A collision will not happen, since there is a calculation that will be performed if a collision is about to happen. Based on this calculation, we can have three types of open addressing technique—Linear probing, quadratic probing, and double hashing. The difference between the three is the formula for finding the next free space if the hash key of the given element has been occupied:

  • In linear probing, if the hash key has been occupied by another element, we use the following formula to find the next free space—(HashFunction(key) + n) % TABLE_SIZE, then increase n from 0 until a free slot is found. Here is the explanation—If HashFunction(key) % TABLE_SIZE is occupied, then try (HashFunction(key) + 1) % TABLE_SIZE. If the slot is still occupied, try (HashFunction(key) + 2) % TABLE_SIZE. Repeat it by increasing n until a...
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