Algorithms / Data Structure | Professional literature for training, studies and practice

In the Algorithms / Data Structures category, you will find in-depth literature on key concepts in computer science and software development. The works cover fundamentals such as sorting and search algorithms, data structures (e.g., trees, graphs, hash tables), as well as advanced topics such as artificial neural networks, algorithmic mathematics, and ethical aspects of AI systems. Typical formats include introductions, textbooks, manuals, and practical guides aimed at students, developers, data scientists, and decision-makers.

In addition to classic algorithms and data structures, application areas such as databases, computer graphics, cryptography, and generative AI are also covered. The titles are suitable for beginners looking to learn the basics, as well as for professionals seeking to deepen their knowledge or understand current developments such as algorithmic bias or blockchain technologies.