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Undergrad Complexity at CMU - BPP

Offered By: Ryan O'Donnell via YouTube

Tags

Computational Complexity Theory Courses

Course Description

Overview

Explore the concept of BPP (Bounded-error Probabilistic Polynomial time) in this guest lecture by Venkatesan Guruswami, part of Carnegie Mellon University's Undergraduate Computational Complexity Theory course. Delve into topics such as axis property amplification, transformation, upper bounds, and theorem proofs. Learn about the Venn diagram representation and gain insights into yield correction. Enhance your understanding of this crucial aspect of complexity theory through this comprehensive 80-minute video lecture, which is part of CMU's Course 15-455 from Spring 2017.

Syllabus

Introduction
Axis property amplification
Transformation
Upper Bounds
Venn Diagram
Theorem
Proof Sketch
Yield Correction


Taught by

Ryan O'Donnell

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