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- Lecture 10 1 Interactive Proofs
- Introduction to Interactive Proofs & the Sumcheck Protocol 1 Introduction
- Probabilistically Checkable Arguments
- Lecture 10: Boolean Circuits (Cont.) 1 Recap 2 Turing Machines with Advice
- Lecture 28 1 Circuit Lower Bounds 2 Parity Cannot Be Solved by AC 0
- 6.046J Lecture 17: Complexity and NP-Completeness
- NP-Completeness
- P Versus NP, and More
- Razborov-Smolensky Scribe: Brian Chen Mohammad Bavarian Scribe Date: Spring 2016
- CS332 Elements of Theory of Computation
- P = NP Problem, and Consider One of the Great Open Problems of Science
- E0 224: Computational Complexity Theory Chandan Saha
- Complexity Theory Lecture 11 Inclusions Establishing Inclusions Reachability
- A Simple Proof of P Versus NP Frank Vega
- Separation of AC0[Parity] Formulas and Circuits
- NL Versus P Frank Vega
- 6.845 Quantum Complexity Theory, Lecture 20
- P-Completeness (B) If Then (U,V)∈L | V |≤ For Some Polynomial P(| N |) P
- Complexity of a Problem
- Complement Classes and the Polynomial Time Hierarchy
- Intutive Definitions NP NPC P
- The “Complexity” Class NP
- Computational Complexity Theory
- Lecture 09: Sparse Sets and Polynomial-Size Circuits 1 Nonuniform Complexity
- Introduction to Complexity Theory
- Lecture 21 1 Probabilistically Checkable Proofs
- Complexity Classes P and NP
- IIT Kharagpur 1 Space Complexity
- Time Complexity - P and NP Classes
- NP-Completeness Polynomial Transformation
- 1 Introduction 2 PSPACE Completeness
- Complexity Theory Lecture 12 Complexity Classes Logarithmic
- 2.1 Complexity Classes
- P, NP, and NP-Completeness: the Basics of Computational Complexity
- The Class P: Polynomial Time • Theorems 1 and 2 Illustrate an Important Distinction
- L4 Complexity Theory I
- Probabilistically Checkable Proofs and Hardness of Approximation
- Lecture 6 & 7 1 Interactive Proof Systems 2 Graph Non-Isomorphism
- More Complexity
- Turing and the Development of Computational Complexity
- Probabilistically Checkable Proofs
- A Computational Complexity Perspective
- Lecture 32: P and NP Problems
- Lecture 4: AC Lower Bounds and Pseudorandomness
- NP Versus PSPACE Frank Vega
- Probabilistically Checkable Proofs and Codes
- Algebraic Methods for Interactive Proof Systems
- 1 Recap: Formal Definitions: P, NP, and NP-Completeness
- Probabilistically Checkable Arguments
- Interactive Proof System We Have Seen Interactive Proofs, in Various Disguised Forms, in the Definitions of NP, OTM, Cook Reduction and PH
- P, NP, NP-Hard & NP-Complete Problems
- P-COMPLETE PROBLEMS and APPROXIMATE SOLUTIONS Sartaj
- Chapter 10. the Complexity Classes P and NP
- Complexity Theory
- Outline Today: • P, NP, NP-Complete, NP-Hard, PSPACE
- Arxiv:2106.11886V5 [Cs.CC] 23 Jul 2021 a Negative Answer to P
- Lecture 3: Interactive Proofs 1 Interactive Proofs
- A Compression Algorithm for AC0[P] Circuits Using Certifying Polynomials
- Simulating EXPSPACE Turing Machines Using P Systems with Active Membranes
- Probabilistically Checkable Proofs (PCP)
- COMPSCI 501: Formal Language Theory Recap and Preview Space
- Computational Complexity. Lecture 9 Space Complexity
- Homework 4 Due: May 2, 2018
- Lecture 6 1 Space Complexity
- NP-Completeness.Pdf
- Lecture 7: AC0[P] Lower Bounds (Continued) and Approximation by Real Polynomials Instructor: Benjamin Rossman
- Probabilistically Checkable Proofs
- Lecture 10 Parity /∈ AC 0, and Introducing PCP 1 the Class
- Connecting PH, P/Poly and BPP
- 1 Interactive Proofs
- Lecture 14: PSPACE
- On the Average Case Complexity of Some P-Complete Problems*
- 1 Adleman's Theorem
- Probabilistically Checkable Proofs of Proximity with Zero-Knowledge⋆
- 6. Computational Complexity • Computational Models • Turing
- The P = Sharp-P Consequence Frank Vega
- A Compendium of Problems Complete for P
- Time Complexity: P and NP 1 Time Complexity and P
- The Minimum Oracle Circuit Size Problem
- Lecture 25: Interactive Proofs 1 Interactive Proof Systems
- NP-Completeness Part II
- Lecture 10: AC Circuits Cannot Compute PARITY 1. Lower Bounds
- P, NP, and NP-Completeness