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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 (16) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Learning Data Structures and Algorithms in C++ FREE CHAPTER 2. Storing Data in Lists and Linked Lists 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 1. Other Books You May Enjoy Index

Summary


In this chapter, we discussed various searching algorithms, from the fastest searching algorithm to the slowest searching algorithm. To get a faster searching algorithm, we can use the interpolation search with O(log (log N)), since it can find the nearest middle index from a searched value. The others are binary search with O(log N) and exponential search with O(log i), where i is the index of searched value. The moderate searching algorithm is a jump search, which has O(√N) and the slowest algorithm is a linear algorithm with O(N) complexity, since it has to check all list elements; however, contrary to other searching algorithms we discussed in this chapter, the linear algorithm can also be applied to an unsorted list.

In the next chapter, we are going to discuss several common algorithms that are frequently used in string data type to gain the best performance.

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