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Advanced Complexity Theory, Fall 2001

 
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Type: Course Related Materials
Grade Level: Post-secondary
Author: Spielman, Daniel
Subject: Mathematics and Statistics, Science and Technology
Institution Name: M.I.T.
Collection Name: MIT OpenCourseWare

Abstract: Current research topics in computational complexity theory. Nondeterministic, alternating, probabilistic, and parallel computation models. Boolean circuits. Complexity classes and complete sets. The polynomial-time hierarchy. Interactive proof systems. Relativization. Definitions of randomness. Pseudo-randomness and derandomizations. Interactive proof systems and probabilistically checkable proofs. The topics for this course cover various aspects of complexity theory, such as the basic time and space classes, the polynomial-time hierarchy and the randomized classes. This is a pure theory class, so no applications were involved.

Details

Course Type: Full Course
Material Types: Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English

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