Algorithms and Data Structures in C++
Algorithms and Data Structures in C++
Summary:
The book "Algorithms and Data Structures in C++" is a comprehensive practical guide that will help you master fundamental programming concepts and learn to apply them to solve real-world problems. The material is aimed at a wide audience: from technical students to professional developers looking to systematize their knowledge.
The first part of the book covers basic data structures in detail: dynamic arrays, linked lists, stacks, queues, hash tables, and trees. Each structure is accompanied by an implementation in C++ using the modern standard (C++17/20), explanations of memory management, and time complexity analysis. Special attention is given to choosing the optimal structure depending on the task.
The second part is dedicated to classic algorithms:
- Sorting algorithms (quick sort, merge sort, heap sort, radix sort) with visualization and performance comparison
- Search and string processing (Knuth-Morris-Pratt, Boyer-Moore, Z-function)
- Graphs and traversals (BFS, DFS, Dijkstra's algorithm, Bellman-Ford, Floyd-Warshall)
- Dynamic programming (knapsack problem, edit distance, sequence problems)
- Greedy algorithms and the divide-and-conquer method
Each topic includes not only theory but also practical examples with complete, ready-to-compile code. At the end of each chapter, problems of varying difficulty levels are offered for independent practice — from simple exercises to olympiad-level tasks. For self-assessment, the book provides detailed solutions with explanations of the thought process.
The reader will learn:
- How to evaluate algorithm efficiency using Big O notation
- How to choose data structures for specific scenarios
- How to write clean, performant C++ code
- How to prepare for technical interviews and programming competitions
The book is written in accessible language, with a minimum of abstract reasoning and a maximum focus on practice. All examples have been tested on current compilers (GCC, Clang, MSVC) and can be immediately used in work or study projects. It is an ideal choice for those who want to move from writing "just working code" to creating efficient and scalable solutions.