Algorithm Design Complexity by Fernandes Flávia (11 results)

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Algorithm Design and Complexity | A Theoretical and Practical Approach | Flávia Gonçalves Fernandes | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786209143014 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 52 pp. Englisch.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.