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C++ Data Structures and Algorithm Design Principles

C++ Data Structures and Algorithm Design Principles

By : John Carey, Anil Achary, Shreyans Doshi, Payas Rajan
2.3 (4)
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C++ Data Structures and Algorithm Design Principles

C++ Data Structures and Algorithm Design Principles

2.3 (4)
By: John Carey, Anil Achary, Shreyans Doshi, Payas Rajan

Overview of this book

C++ is a mature multi-paradigm programming language that enables you to write high-level code with a high degree of control over the hardware. Today, significant parts of software infrastructure, including databases, browsers, multimedia frameworks, and GUI toolkits, are written in C++. This book starts by introducing C++ data structures and how to store data using linked lists, arrays, stacks, and queues. In later chapters, the book explains the basic algorithm design paradigms, such as the greedy approach and the divide-and-conquer approach, which are used to solve a large variety of computational problems. Finally, you will learn the advanced technique of dynamic programming to develop optimized implementations of several algorithms discussed in the book. By the end of this book, you will have learned how to implement standard data structures and algorithms in efficient and scalable C++ 14 code.
Table of Contents (11 chapters)
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Collisions in Hash Tables

In the previous sections, we took a look at how hash tables can help us store a lot of keys in a way that makes it easy to look up any required key. However, we also encountered a problem where multiple keys had the same hash value, also known as a collision. In Exercise 13, Basic Dictionary for Integers, we handled this issue by simply rewriting the key and retaining the latest key corresponding to a given hash value. However, this does not allow us to store all the keys. In the following subtopics, we shall take a look at a couple of approaches that help us overcome this problem and allow us to retain all of our key values in the hash table.

Close Addressing – Chaining

So far, we've only been storing a single element for any hash value. If we already have an element for a particular hash value, we have no option but to discard either the new value or the old value. The method of chaining is one way we can retain both values. In this method, instead of...

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