There are ways to solve problems and knowing what practical approaches can be utilized is beneficial to solve problems efficiently. Proving problems involves learning how reductions and techniques for problem-solving can be hard.
Through this [course_title] you are provided with the hardness proofs that you can use with algorithmic lower bounds. You can actually create a game out of it through knowing the solutions addressing problems and complexity issues.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|Lecture 1: Overview||01:20:00|
|Lecture 2: 3-Partition I||01:23:00|
|Lecture 3: 3-Partition II||01:21:00|
|Lecture 4: SAT I||01:20:00|
|Lecture 5: SAT Reductions||01:22:00|
|Lecture 6: Circuit SAT||01:19:00|
|Lecture 7: Planar SAT||01:23:00|
|Lecture 8: Hamiltonicity||01:21:00|
|Lecture 9: Graph Problems||01:20:00|
|Lecture 10: Inapproximabililty Overview||01:18:00|
|Lecture 11: Inapproximability Examples||01:20:00|
|Lecture 12: Gaps and PCP||01:23:00|
|Lecture 13: W Hierarchy||01:21:00|
|Lecture 14: ETH and Planar FPT||01:23:00|
|Lecture 15: #P and ASP||01:23:00|
|Lecture 16: NP and PSPACE Video Games||01:18:00|
|Lecture 17: Nondeterministic Constraint Logic||01:20:00|
|Lecture 18: 0- and 2-Player Games||01:21:00|
|Lecture 19: Unbounded Games||01:23:00|
|Lecture 20: Undecidable and P-Complete||01:23:00|
|Lecture 21: 3SUM and APSP Hardness||01:19:00|
|Lecture 22: PPAD||01:21:00|
|Lecture23: PPAD Reductions||01:23:00|
|Submit Your Assignment||00:00:00|
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