Introduction to Complexity and Computability
This is a basic course on the theory of algorithms, computability and computational complexity. Roughly the first half of the course is devoted to the introduction to computability theory: Turing machines. Computable functions. Recursive and recursively enumerable languages and sets. Undecidable problems. The second half of the course is devoted to the study of space and time complexity classes: Equivalence of PSPACE and NPSPACE. Deterministic hierarchy theorems. Class NP. Polynomial reducibility among problems. Proofs of NP- completeness. Approximation algorithms and approximation schemes.
This is a textbook on computational complexity theory. It is intended as a text for an advanced under...
Gain a clear understanding of even the most complex, highly theoretical computational theory topics i...
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