UIUC CS 374 FA 20: 10.6.1. Proving that merge, in merge-sort, is correct

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  1. Sariel Har-Peled
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UIUC CS 374 FA 20: 5.1.2. Algorithms for converting NFA to DFA

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UIUC CS 374 FA 20: 13.2. Dynamic programming

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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 1.4 Languages

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UIUC CS 374 FA 20: 8.4. Languages defined by a Turing machine

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UIUC CS 374 FA 20: 4.4. Every regular language has an NFA

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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: 10.2. What is a good algorithm?

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UIUC CS 374 FA 20: 3.1. Introduction to DFAs

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UIUC CS 374 FA 20: 3.2 Constructing DFAs

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UIUC CS 374 FA 20: 4.2. Constructing NFAs

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UIUC CS 374 FA 20 2.1 Regular Languages

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UIUC CS 374 FA 20: 7.6. CFGs normal form

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UIUC CS 374 FA 20: 3.1.1 Graphical representation of DFAs

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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: 3.3. How to build a DFA for the complement language

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UIUC CS 374 FA 20: 23.1.1. Completeness

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UIUC CS 374 FA 20: 10.8. Binary search

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UIUC CS 374 FA 20: 9.4. TM Unrecongizable

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UIUC CS 374 FA 20: 6.4. Using closure properties to prove non-regularity

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UIUC CS 374 FA 20: 5.2. Closure properties of regular languages

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UIUC CS 374 FA 20: 22.2.2. Certifiers/Verifiers

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UIUC CS 374 FA 20 2.1.1 Regular languages review questions