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.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786209143014
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: 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. Nº de ref. del artículo: 9786209143014
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786209143014
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786209143014
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