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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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Summary

So far, we have covered graphs in fairly comprehensive detail. You should now have a solid understanding of some of the basic uses of graph theory in software development, as well as an appreciation for how graph-based solutions can be used to encapsulate complex data in a way that allows us to query and manipulate it with relative ease. Having learned the fundamentals of graph structures and traversals in Chapter 6, Graph Algorithms I, and then extended them to solve more advanced problems in this chapter, you should now be well-equipped to explore much deeper graph implementations in the future since these basic concepts are at the core of all of them.

Though this chapter does not completely conclude our discussion of graph algorithms for this book, we will now take a break from graphs to explore one of the most powerful and challenging programming techniques in the modern developer's repertoire. Like graph algorithms, the subject we will cover next is so expansive and conceptually...

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