Lecture Notes on Computational Complexity
by Luca Trevisan
Number of pages: 171
These are notes from a graduate courses on Computational Complexity offered at the University of California at Berkeley. The first 15 lectures cover fundamental material. The remaining lectures cover more advanced material - there are lectures on Hastad's optimal inapproximability results, lower bounds for parity in bounded depth-circuits, lower bounds in proof-complexity, and pseudorandom generators and extractors.
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Lecture notes for a graduate course on computational complexity taught at the University of Washington. Alternating Turing machines are introduced very early, and deterministic and nondeterministic Turing machines treated as special cases.
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