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Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics, Randomization, Communication, and Cryptography
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JPY 17289
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Theoretical computer science is a fascinating discipline, full of spectacular contributions and miracles, and depth in research, and yet directly applicable.
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製品詳細
| Publisher | Springer |
| Publication date | September 18, 2003 |
| Edition | 2011th |
| Language | English |
| Print length | 323 pages |
| ISBN-10 | 3540140158 |
| ISBN-13 | 978-3540140153 |
| Item Weight | 1.35 pounds (610 grams) |
| Dimensions | 6.44 x 0.92 x 9.44 inches (16.4 x 2.3 x 24 cm) |
| Part of series | Texts in Theoretical Computer Science. An EATCS |
どんな人にお勧めですか?
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Students of Computer Science
Ideal for undergraduate and graduate students exploring foundational concepts in theoretical computer science and its applications.
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Research Academics
Beneficial for researchers looking to deepen their understanding of automata theory, complexity, and related fields.
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Professional Developers
Useful for software engineers interested in algorithms, cryptography, and improving system design through theoretical knowledge.
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Beginners in Computing
Not suitable for those without prior knowledge of computer science principles, as it requires foundational understanding.
製品説明書
Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics, Randomization, Communication, and Cryptography
お客様の質問と回答
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質問:
What topics are covered in 'Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics, Randomization, Communication, and Cryptography'?
回答: This comprehensive text encompasses various foundational topics in theoretical computer science, including automata theory, which explores models of computation; computability and its limitations; computational complexity that deals with the efficiency of algorithms; algorithmic techniques; the role of randomness in algorithms; communication theory; and cryptography, focusing on securing information. Each topic builds upon the previous concepts, providing a robust framework for understanding advanced computational theories, ideal for students and professionals in computer science. -
質問:
Who would benefit from reading this book?
回答: This book is designed for advanced undergraduate and graduate students in computer science, as well as professionals seeking to deepen their understanding of theoretical frameworks. It is particularly beneficial for those pursuing studies in algorithms, artificial intelligence, data science, and cryptology. Educators can also use it as a supplementary resource for teaching subjects related to mathematics and computer science, integrating real-world application scenarios and in-depth discussions to enhance learning experiences. -
質問:
How does this book differ from other texts in theoretical computer science?
回答: Unlike many introductory texts that focus narrowly on specific aspects, this book provides a holistic view of theoretical computer science, integrating various subfields into a comprehensive narrative. It emphasizes not just the theories but also practical applications, such as algorithms in real-world problems and cryptographic techniques in secure communications. This unique perspective helps readers connect theoretical concepts with practical scenarios, making it an invaluable resource for holistic learning. -
質問:
Is this book suitable for self-study?
回答: Yes, 'Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics, Randomization, Communication, and Cryptography' is suitable for self-study. The content is structured to allow individuals to grasp complex theoretical concepts step-by-step, complete with exercises that reinforce learning. Readers looking to enhance their programming and problem-solving skills, as well as those preparing for academic examinations or professional certifications in computer science, will find this text particularly beneficial. -
質問:
What prerequisites should I have before reading this book?
回答: A solid understanding of basic computer science principles, algorithms, and data structures is recommended before diving into this text. Familiarity with discrete mathematics, including concepts like sets, functions, and proofs, will significantly enhance comprehension. Readers with a background in mathematics or related fields will find it easier to engage with the more advanced topics presented in the book, ultimately leading to a richer learning experience. -
質問:
Does this book include practical examples or exercises?
回答: Yes, the text is rich with practical examples and exercises designed to reinforce theoretical concepts. Throughout the chapters, readers will encounter scenario-based problems that encourage the application of theories to real-life situations. This interactive approach not only aids in understanding but also enhances problem-solving skills, making it an excellent resource for learners who prefer a hands-on methodology. -
質問:
Can this book be used for course instruction?
回答: Absolutely! This book is well-suited for course instruction in theoretical computer science. Its structured approach, comprehensive coverage of essential topics, and inclusion of problem sets make it an excellent textbook for both lecturers and students. Educators can utilize it as an authoritative reference, facilitating class discussions, assignments, and projects that align with curriculum goals across computer science courses. -
質問:
Will I find references to contemporary research in this book?
回答: Yes, the book references contemporary research and developments in the field of theoretical computer science, linking foundational theories to current advancements. By providing insight into ongoing research and emerging trends, readers can appreciate the relevance of theoretical studies in practical applications and innovations in technology, such as AI and machine learning, enriching the educational experience. -
質問:
How can the concepts from this book be applied in real-world scenarios?
回答: The concepts explored in this text have numerous real-world applications. For example, automata theory is foundational in developing compilers and interpreters, while cryptographic principles underpin secure online transactions. Understanding algorithmic efficiency aids in optimizing software, enhancing performance in tech applications. By grasping these theoretical underpinnings, readers can effectively contribute to technological innovations and computational problem-solving in various industries. -
質問:
Where can I buy 'Theoretical Computer Science' in Japan?
回答: You can purchase 'Theoretical Computer Science: Introduction to Automata, Computability, Complexity, Algorithmics, Randomization, Communication, and Cryptography' on Ubuy, a trusted online retailer. Ubuy offers a wide range of books, ensuring that you have access to this essential text, along with various purchasing options and support for readers in Japan.
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JPY 17289
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特徴と利点
- Elegant route through theoretical fundamentals of computer science.
- Excites readers about the study of theoretical computer science.
- Includes crucial ideas and transparent yet rigorous presentations.
- Covers classic areas and modern concepts like approximation and randomization.
- Explains basic ideas of cryptography and interconnection network design.
- Ideal for students and professionals seeking a comprehensive understanding.
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