UIUC CS 374 FA 20: 21.6.1. CNF, SAT, 3CNF and 3SAT

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  1. Sariel Har-Peled
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UIUC CS 374 FA 20: 10.2. What is a good algorithm?

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UIUC CS 374 FA 20: 3.1.2. Formal definition of DFAs

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UIUC CS 374 FA 20: 20.6.1. Implementing Borůvka’s Algorithm

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UIUC CS 374 FA 20: 13.1. Recursion and memoization

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UIUC CS 374 FA 20: 23.1.2. SAT is NP-Complete

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UIUC CS 374 FA 20: 24.4.2. The consistency of execution

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UIUC CS 374 FA 20: 3.3. How to build a DFA for the complement language

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UIUC CS 374 FA 20: 4.1.1 Formal definition of NFAs

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UIUC CS 374 FA 20: 23.1.1. Completeness

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UIUC CS 374 FA 20: 5.1. Equivalence of NFAs and DFAs (introduction)

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UIUC CS 374 FA 20: 7.6. CFGs normal form

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UIUC CS 374 FA 20: 8.3. Snapshots of TM execution

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UIUC CS 374 FA 20: 23.1.3. Other NP Complete Problems

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UIUC CS 374 FA 20: 3.1. Introduction to DFAs

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UIUC CS 374 FA 20: 24.3.1. The coloring problem

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UIUC CS 374 FA 20: 18.6. DFA to Regular Expression

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UIUC CS 374 FA 20 1.4 Languages

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UIUC CS 374 FA 20: 3.1.1 Graphical representation of DFAs

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