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C++ Data Structures and Algorithm Design Principles

You're reading from   C++ Data Structures and Algorithm Design Principles Leverage the power of modern C++ to build robust and scalable applications

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781838828844
Length 626 pages
Edition 1st Edition
Languages
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Authors (4):
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Anil Achary Anil Achary
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Anil Achary
John Carey John Carey
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John Carey
Payas Rajan Payas Rajan
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Payas Rajan
Shreyans Doshi Shreyans Doshi
Author Profile Icon Shreyans Doshi
Shreyans Doshi
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Toc

Table of Contents (11) Chapters Close

About the Book 1. Lists, Stacks, and Queues FREE CHAPTER 2. Trees, Heaps, and Graphs 3. Hash Tables and Bloom Filters 4. Divide and Conquer 5. Greedy Algorithms 6. Graph Algorithms I 7. Graph Algorithms II 8. Dynamic Programming I 9. Dynamic Programming II 1. Appendix

Binary Search

Let's start with the standard search problem: say we are given a sorted sequence of positive integers and are required to find out if a number, N, exists in the sequence. There are several places where the search problem shows up naturally; for example, a receptionist looking for a customer's file in a set of files that are kept ordered by customer IDs or a teacher looking for the marks obtained by a student in their register of students. They are both, in effect, solving the search problem.

Now, we can approach the problem in two different ways. In the first approach, we iterate over the entire sequence, checking whether each element is equal to N. This is called a linear search and is shown in the following code:

bool linear_search(int N, std::vector<int>& sequence)

{

    for (auto i : sequence)

    {

        if (i == N)

          ...

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