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Undergrad Complexity at CMU - Lecture 28: Why is P vs. NP Difficult?
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Undergraduate Computational Complexity Theory
Lecture 28: Why is P vs. NP Difficulty?
Carnegie Mellon Course 15-455, Spring 2017
Taught by Ryan O'Donnell
Suggested reading: Sipser Ch. 9.2
Lecture 28: Why is P vs. NP Difficulty?
Carnegie Mellon Course 15-455, Spring 2017
Taught by Ryan O'Donnell
Suggested reading: Sipser Ch. 9.2
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Undergrad Complexity at CMU - Lecture 1: Course Overview
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Undergrad Complexity at CMU - Lecture 16: Space Complexity
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Undergrad Complexity at CMU - Lecture 8: NP
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Undergrad Complexity at CMU - Lecture 23: The Polynomial Hierarchy
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Undergrad Complexity at CMU - Lecture 7: SAT
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Undergrad Complexity at CMU - Lecture 12: NP-Completeness Reductions
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Undergrad Complexity at CMU - Lecture 21: Randomized Complexity: RP, coRP, and ZPP
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Undergrad Complexity at CMU - Lecture 10: Reductions
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Undergrad Complexity at CMU - Lecture 26: Beyond Worst-Case Analysis
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Undergrad Complexity at CMU - Lecture 17: Savitch's Theorem and NL
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Undergrad Complexity at CMU - Lecture 27: Hardness within P
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Undergrad Complexity at CMU - Lecture 2: Turing Machines
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Undergrad Complexity at CMU - Lecture 6: Problems in P
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Undergrad Complexity at CMU - Lecture 22: BPP
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Undergrad Complexity at CMU - Lecture 15: coNP
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Undergrad Complexity at CMU - Lecture 13: Search-to-Decision, Padding, Dichotomy Theorems
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Undergrad Complexity at CMU - Lecture 20: The Immerman--Szelepcsényi Theorem
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Undergrad Complexity at CMU - Lecture 24: Oracle Turing Machines and P^NP
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Undergrad Complexity at CMU - Lecture 28: Why is P vs. NP Difficult?
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Undergrad Complexity at CMU - Lecture 9: Nondeterminism
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Undergrad Complexity at CMU - Lecture 11: NP-Completeness and the Cook--Levin Theorem
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Undergrad Complexity at CMU - Lecture 19: From P-Completeness to PSPACE-Completeness
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Undergrad Complexity at CMU - Lecture 4: Time Complexity and Universal Turing Machines
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Undergrad Complexity at CMU - Lecture 5: Time Hierarchy Theorem
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