Computational Complexity Theory

Computational Complexity Theory

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What you will learn

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In this course we study mathematical techniques that enable us to show the power and limitations of various computational models. We consider these models by putting restrictions on the resources that the model can use and study the class of problems that are solvable by these models. We also compare the various classes that are thus obtained and try to give relations between them.

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Lecture 1: Introduction
Preview 34:13
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Lecture 2: NP Completeness
Preview 48:03
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Lecture 3: SAT is NP-complete
Preview 43:52
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Lecture 4: More on NP completeness
Preview 43:52

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Lecture 05: Hierarchy Theorems
Preview 47:31
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Lecture 06: Introduction to Space Complexity
Preview 47:33
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Lecture 07: Savitch's Theorem
Preview 49:26

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Lecture 08: Immerman-Szelepscenyi Theorem
Preview 48:20
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Lecture 09: Polynomial Hierarchy
Preview 48:01
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Lecture 10: A PSPACE Complete Problem
Preview 48:19

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Lecture 11: More on Polynomial Hierarchy
Preview 46:33
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Lecture 12: Alternating Turing Machines
Preview 40:27
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Lecture 13: Equivalence of Quantifier and Oracle Based Definitions of Polynomial Hierarchy
Preview 43:11

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Lecture 14: Boolean Circuits
Preview 62:55
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Lecture 15: Shannon's Theorem and Karp-Lipton-Sipser Theorem
Preview 46:49
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Lecture 16: Bounded Depth Circuit Classes
Preview 45:38

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Lecture 17: Kannan's Theorem
Preview 12:53
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Lecture 18: Probabilistic Complexity
Preview 42:27
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Lecture 19: StrongBPP and WeakBPP
Preview 13:01
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Lecture 20: One-sided and Zero-sided Error Probabilistic Complexity Classes
Preview 17:57

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Lecture 21: Error Reduction for BPP
Preview 47:30
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Lecture 22: BPP in PH and Logspace Randomized Classes
Preview 50:25
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Lecture 23: Valiant-Vazirani Theorem - I
Preview 46:01

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Lecture 24: Valiant-Vazirani Theorem - I
Preview 50:55
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Lecture 25: Amplified version of Valiant-Vazirani Theorem
Preview 44:44
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Lecture 26: Toda's Theorem - I
Preview 47:07
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Lecture 27: Toda's Theorem - II
Preview 39:10

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Lecture 28: Permanent and Determinant Functions
Preview 15:42
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Lecture 29: Permanent is hard for #P
Preview 53:43
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Lecture 30: Interactive Proofs
Preview 81:20

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Lecture 31: Graph Non-Isomorphism is in IP[2]
Preview 45:50
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Lecture 32: Set Lower Bound Protocol
Preview 42:31
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Lecture 33: MA is in AM
Preview 39:04

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Lecture 34: Sumcheck Protocol - I
Preview 29:15
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Lecture 35: Sumcheck Protocol - II
Preview 48:29
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Lecture 36: Parity not in AC0 - I
Preview 44:56
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Lecture 37: Parity not in AC0 - II
Preview 50:55

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Lecture 38 : Circuits with Counters
Preview 35:31
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Lecture 39 : Communication Complexity - I
Preview 51:48
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Lecture 40 : PCP Theorem
Preview 89:20
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Lecture 41 : Communication Complexity - II
Preview 45:53
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Meet Your Instructor
@VTU COE
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Instructor
3.2 Rating
2542 Students
759 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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  • Course Duration
    30 h 33 m 13 s
  • Course Level
    Intermediate
  • Student Enrolled
    0
  • Language
    English
This Course Includes
  • 30 h 33 m 13 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion