Algorithms and Data Structures in C++: From Basics to Advanced Techniques

The book "Algorithms and Data Structures in C++" is a comprehensive guide for those who want to master the fundamental concepts of Computer Science in C++. The author consistently guides the reader from simple data types to complex graph algorithms, accompanying each step with clear examples and ready-to-use code.

What you will find in the book:

• Basic structures: arrays, linked lists, stacks, queues, hash tables — their implementation in C++ from scratch.
• Sorting and searching algorithms: from bubble sort to quicksort, binary search, interpolation search.
• Trees and graphs: binary search trees, AVL trees, red-black trees, graph traversals (BFS, DFS), Dijkstra's and Prim's algorithms.
• Dynamic programming: problems on recursion, memoization, LCS, the knapsack problem.
• Working with STL: containers (vector, map, set), iterators, algorithms from the standard library.
• Optimization: complexity analysis O(n), Big O notation, choosing the right structure for a specific task.

Who this book is for:

• Beginner C++ developers looking to systematize their knowledge.
• Students of technical majors studying programming.
• Practicing programmers preparing for interviews (LeetCode, Codeforces).
• Anyone who wants to write faster and more reliable C++ code.

What you will learn:

• Implement basic data structures manually and using STL.
• Choose optimal algorithms for typical tasks.
• Understand the internal workings of standard C++ containers.
• Write code that runs fast and doesn't leak memory.
• Solve intermediate and advanced problems on competitive programming platforms.

Each chapter contains theoretical material, code examples with comments, exercises for independent work, and self-test questions. The code from the book is posted on GitHub and available for download.

This book will become your reliable companion in learning algorithms in C++ — from your first "Hello World" to complex multithreaded solutions.