Buch, Englisch, 1008 Seiten, Format (B × H): 200 mm x 254 mm, Gewicht: 2348 g
Buch, Englisch, 1008 Seiten, Format (B × H): 200 mm x 254 mm, Gewicht: 2348 g
ISBN: 978-0-19-923321-2
Verlag: Oxford University Press
Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology. But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student. This book bridges these gaps by explaining the deep ideas of theoretical
computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view. The authors start with a lucid and playful explanation of the P vs. NP problem, explaining why it is so
fundamental, and so hard to resolve. They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing. At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible. The book is intended for graduate and undergraduate students, scientists from other areas who have long
wanted to understand this subject, and experts who want to fall in love with this field all over again.
Zielgruppe
First-year graduate students in computer science; instructors in theoretical computer science; graduate students in mathematics, physics, engineering, and theoretical biology. Statistical and quantum physicists interested in the interdisciplinary boundary between physics and computer science; scientists from mathematics, physics, engineering, and theoretical biology who are interested in computational complexity; motivated undergraduates in computer science and the above fields.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
Weitere Infos & Material
1: Prologue
2: The Basics
3: Insights and Algorithms
4: Needles in a Haystack: The class NP
5: Who is the Hardest One of All: NP-Completeness
6: The Deep Question: P vs. NP
7: Memory, Paths and games
8: Grand Unified Theory of Computation
9: Simply the Best: Optimization
10: The Power of Randomness
11: Random Walks and Rapid Mixing
12: Counting, Sampling, and Statistical Physics
13: When Formulas Freeze: Phase Transitions in Computation
14: Quantum Computing
15: Epilogue
16: Appendix: Mathematical Tools