Read alsoFrankie Pickle and the Mathematical Menace
Frankie is struggling. This time it’s not to keep his room clean, or to win the Pine Run 3000. It is something much more serious: MATH! He just doesn’t get it—it seems impossible. So instead of acing his quiz, the numbers become unconquerable monsters. When Frankie finally shares his problem with his family and his best friend, Kenny, they band…
One chapter is dedicated to abstract complexity theory, an older field which, however, deserves attention because it lays out the foundations of complexity. The other chapters, on the other hand, focus on recent and important developments in complexity. The book presents in a fairly detailed manner concepts that have been at the centre of the main research lines in complexity in the last decade or so, such as: average-complexity, quantum computation, hardness amplification, resource-bounded measure, the relation between one-way functions and pseudo-random generators, the relation between hard predicates and pseudo-random generators, extractors, derandomization of bounded-error probabilistic algorithms, probabilistically checkable proofs, non-approximability of optimization problems, and others.
The book should appeal to graduate computer science students, and to researchers who have an interest in computer science theory and need a good understanding of computational complexity, e.g., researchers in algorithms, AI, logic, and other disciplines.
· Emphasis is on relevant quantitative attributes of important results in complexity.
· Coverage is self-contained and accessible to a wide audience.
· Large range of important topics including: derandomization techniques, non-approximability of optimization problems, average-case complexity, quantum computation, one-way functions and pseudo-random generators, resource-bounded measure and topology.