Algorithms in Java

The book "Algorithms in Java" is a practical guide for developers who want to deepen their knowledge of algorithms and data structures using the Java language. The book is aimed at intermediate-level programmers already familiar with the basics of Java, but who wish to systematize their knowledge and learn to solve complex problems efficiently.

The reader will learn how to implement classic sorting algorithms (quicksort, mergesort, heapsort), search algorithms (binary search, interpolation search), graph algorithms (depth-first search and breadth-first search, Dijkstra's and Prim's algorithms), and dynamic programming. Special attention is given to algorithm complexity analysis (Big O notation) and choosing the optimal solution depending on the problem.

Chapter contents:

• Chapter 1. Introduction to algorithm analysis: O-notation, amortized analysis.
• Chapter 2. Sorting and ordering: from bubble sort to Timsort.
• Chapter 3. Data structures: arrays, lists, stacks, queues, hash tables.
• Chapter 4. Trees: binary, AVL, red-black, B-trees.
• Chapter 5. Graphs: representation, traversals, shortest paths, minimum spanning trees.
• Chapter 6. Dynamic programming and greedy algorithms.
• Chapter 7. String algorithms: substring search, regular expressions.
• Chapter 8. Parallel and thread-safe algorithms in Java.

Why you should read it: the book is written in simple language with many code examples ready for compilation. Each algorithm is accompanied by visual diagrams and a step-by-step breakdown. This is not dry theory, but a practical tool for passing interviews at top IT companies and writing high-performance code.

The book is ideal for Java developers preparing for technical interviews, students of technical specialties, and anyone who wants to move from "just working code" to "efficient and scalable solutions."