What is the Totally Quantified Boolean Formula (TQBF) problem? - Easy Theory
Here we show that the totally quantified boolean formula (TQBF) problem is PSPACE-complete. This is very similar to the Cook-Levin theorem as well as Savitch's theorem, but now we want to make sure that the formula only has polynomial size. The trick is to utilize the "for all" quantifier to encode the recursive calls into one call.
Thanks to the following supporters of the channel for helping support this video. If you want to contribute, links are below. Names are listed in alphabetical order by surname. Platinum: Micah Wood Silver: Timmy Gy, Josh Hibschman, Patrik Keinonen, Travis Schnider, and Tao Su
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▶ABOUT ME◀ I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes. ... https://www.youtube.com/watch?v=DxOT5uYcyRA
Here we introduce the "longest increasing subsequence" problem, which is, given an array A, try to find the longest length of any subset of A that is strictly increasing. I do an example in the video. It's easily shown then that the LIS problem can be solved in O(2^n) time by examining every subset. However, we can use dynamic programming here by noticing that "close" subsets are not going to have wildly different LIS values. So we develop a recurrence for the LIS problem, and then make an "iterative" algorithm that saves previous calculations in a table. We then show that it can be solved in O(n^2) time.
Chapters:
0:00 - Intro
0:39 - What is the problem?
5:04 - Brute force algorithm
10:05 - Can we go faster?
12:39 - Defining the recurrence
22:09 - How the memoization works here
22:57 - Iterative algorithm
33:05 - What is the runtime of the DP algorithm?
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https://www.youtube.com/watch?v=ggUN8TijNiU
Here we present a research problem, which is determining the 5th Busy Beaver number. This problem asks how long a Turing Machine with 5 states can run before it eventually stops, and only a few machines remain. Let's solve it together! Here is the github repo of the current best-known results: https://github.com/danbriggs/Turing
Thanks to the following supporters of the channel for helping support this video. If you want to contribute, links are below.
Dolev Abuhazira, Josh Hibschman, Micah Wood, Morgan Jones, Patrik Keinonen, Simone Glinz, Tao Su, Timothy Gorden, unit220, Valentine Eben
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▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about it. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
The views expressed in this video are not reflective of any of my current or former employers.
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https://www.youtube.com/watch?v=31IXLjRoMw4
Easy Theory Website: https://www.easytheory.org
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If you like this content, please consider subscribing to my channel: https://www.youtube.com/channel/UC3VY6RTXegnoSD_q446oBdg?sub_confirmation=1
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about it. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
The views expressed in this video are not reflective of any of my current or former employers.
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https://www.youtube.com/watch?v=p5ESNDICdq0
Here we give an overview of the Bellman-Ford algorithm for computing shortest paths in graphs where there are negative-weights. Note that if there is a negative-weight cycle in the graph, then no shortest paths can exist. What the B-F algorithm does is find the shortest weights, as well as detect if a negative-weight cycle exists.
Thanks to the following supporters of the channel for helping support this video. If you want to contribute, links are below. Names are listed in alphabetical order by surname.
Platinum: Micah Wood
Silver: Timmy Gy, Josh Hibschman, Patrik Keinonen, Travis Schnider, and Tao Su
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https://www.youtube.com/watch?v=KaiV5v8hc8E
Full Theory of Computation Lecture playlist: https://www.youtube.com/watch?v=OPaB-rpKhZ0&list=PLylTVsqZiRXMiTARmrsxCWU2RahyKB_Ae&index=1&t=1s
Lecture "a la carte" playlist: https://www.youtube.com/watch?v=gO9Ho9Dpu8k&list=PLylTVsqZiRXP51EfJWv8cxD6wIFTZQD9_&index=1
Here we prove that regular languages are closed under complement (i.e., if R is a regular language, then Sigma* - R is also a regular language). This is proved because a DFA for R has exactly one computation on any string, so flipping the final and non-final states of the DFA results in a DFA that has the complement of R as its language.
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Here we introduce a "polynomial-time reduction," which is one in which takes polynomial time (obviously). We also introduce the notion of NP-hardness and NP-completeness. We then show that if a problem is NP-complete, and is also in P, then P = NP.
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Here we look at the quicksort algorithm, which is another sorting algorithm that uses recursion. The idea is that it is very similar to mergesort, but instead of recursively working on the two halves and then merging, we first "split" the array into two pieces, and *then* recursively work on the two pieces. The idea is to pick a "pivot" element, and to move all of the other elements to the "correct side" of this pivot element. The two halves are just the partition created by this pivot.
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▶SEND ME THEORY QUESTIONS◀
ryan.e.dougherty@icloud.com
▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
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https://www.youtube.com/watch?v=bDM-OCeynfQ
Here we show how to not swear or say "bad words", with a regular expression and a DFA. By this, we mean all strings over {a, b, c, d} that avoid a particular substring abcd. Feel free to substitute your favorite 4-letter swear word!
Timeline:
0:00 - Regex for Not Swearing
5:53 - DFA for Not Swearing
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▶ABOUT ME◀
I am a professor of Computer Science, and am passionate about CS theory. I have taught many courses at several different universities, including several sections of undergraduate and graduate theory-level classes.
...
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