Algorithm Design and Complexity

The book Algorithm Design and Complexity: A Theoretical and Practical Approach offers a comprehensive exploration of the fundamental principles and advanced techniques involved in constructing and analyzing efficient algorithms. Combining theoretical rigor and practical application, the book covers classic design strategies such as divide and conquer, dynamic programming, greedy algorithms, backtracking and probabilistic algorithms, as well as discussing computational limits, complexity classes and intractable problems.Aimed at students, teachers and professionals in the field of computer science, the book presents content structured in a didactic way, accompanied by examples, pseudocode and exercises that promote the development of algorithmic reasoning. The analysis of time and space complexity is dealt with in depth, enabling the reader to evaluate the efficiency and scalability of their solutions.By integrating theory and practice, this book establishes itself as an essential guide for anyone seeking to understand the fundamentals that underpin computational performance and to design robust, optimized algorithms that are applicable to the most diverse contexts of contemporary computing.

Autorentext

EBTT Professor at the Federal Institute of Mato Grosso do Sul - Dourados Campus - Area: Computer Science. Bachelor's degree in Computer Engineering from the University of Uberaba - UNIUBE. Master's in Biomedical Engineering from the Federal University of Uberlândia - UFU. PhD in Exact and Technological Sciences from the Federal University of Catalão - UFCAT.