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Mastering Data Structures and Algorithms Using Java: A Practical Guide to Problem Solving, Time Complexity, and Interview Preparation
Description:
Build a strong foundation in Data Structures and Algorithms with a practical, Java-focused approach.
Mastering Data Structures and Algorithms Using Java is a comprehensive guide designed for students, aspiring software engineers, and professionals preparing for technical interviews. This book explains core algorithmic concepts with clarity, focusing on how and why algorithms work, not just how to write code.
Covering a wide range of essential topics, the book emphasizes problem-solving techniques, efficient algorithm design, and time and space complexity analysis, supported by clean and readable Java implementations.
What you’ll
Fundamental and advanced sorting and searching algorithmsDynamic Programming techniques with classic problemsGraph algorithms including DFS, BFS, Dijkstra, Bellman-Ford, Floyd–Warshall, and A*Tree-based structures such as BST, AVL Trees, traversals, and LCAGreedy algorithms and backtracking (N-Queens, Sudoku)Bit manipulation and mathematical algorithmsWriting optimized Java solutions with performance analysisWhether you are studying computer science, preparing for coding interviews, or strengthening your algorithmic thinking, this book serves as a structured and reliable reference.
Build a strong foundation in Data Structures and Algorithms with a practical, Java-focused approach.
Mastering Data Structures and Algorithms Using Java is a comprehensive guide designed for students, aspiring software engineers, and professionals preparing for technical interviews. This book explains core algorithmic concepts with clarity, focusing on how and why algorithms work, not just how to write code.
Covering a wide range of essential topics, the book emphasizes problem-solving techniques, efficient algorithm design, and time and space complexity analysis, supported by clean and readable Java implementations.
What you’ll
Fundamental and advanced sorting and searching algorithmsDynamic Programming techniques with classic problemsGraph algorithms including DFS, BFS, Dijkstra, Bellman-Ford, Floyd–Warshall, and A*Tree-based structures such as BST, AVL Trees, traversals, and LCAGreedy algorithms and backtracking (N-Queens, Sudoku)Bit manipulation and mathematical algorithmsWriting optimized Java solutions with performance analysisWhether you are studying computer science, preparing for coding interviews, or strengthening your algorithmic thinking, this book serves as a structured and reliable reference.
220 pages, Kindle Edition
Published January 3, 2026
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