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06:04 ECS 120 5b:4 a non-regular unary language ECS 120 5b:4 a non-regular unary language	ECS 120 5b:4 a non-regular unary language square string length energy extension language 2k 1s g. squares strings claim json distance thing spending copies expression integer cancel From David Doty 0 likes 134 plays 0
08:16 ECS 220 4c:6.3-2 definition of artificial problem… ECS 220 4c:6.3-2 definition of artificial problem Catch22	ECS 220 4c:6.3-2 definition of artificial problem Catch22 problem input catch-22 steps source diagonalization programs output inputs definition length boolean decision function answer technique times halts shortcuts g. From David Doty 0 likes 18 plays 0
02:14 ECS 120 9c:4 N vs. Q ECS 120 9c:4 N vs. Q	ECS 120 9c:4 N vs. Q rationals equals function 3d naturals enumeration g3 g2 g1 integers trick g. numbers bit lot From David Doty 0 likes 88 plays 0
07:22 ECS 120 8b:1 reducing IndSet to Clique ECS 120 8b:1 reducing IndSet to Clique	ECS 120 8b:1 reducing IndSet to Clique graph clique edges problem algorithm nodes edge pair gi subroutine pairs c. node compliment transformation g. definition reduction instances types From David Doty 0 likes 223 plays 0
07:02 ECS 120 7c:3 example problem in NP - Clique ECS 120 7c:3 example problem in NP - Clique	ECS 120 7c:3 example problem in NP - Clique clique size nodes graph verifier pairs problem input words pair problems iteration iterations loop g. threshold linear execution ways python From David Doty 1 likes 264 plays 0
02:04 ECS 120 6c:5 definition of Ω(), ω(),… ECS 120 6c:5 definition of Ω(), ω(), and Θ()	ECS 120 6c:5 definition of Ω(), ω(), and Θ() g. theta f. functions omega n. function equals thing rates growth equivalence operators b. From David Doty 1 likes 204 plays 0
10:28 ECS 120 6c:3 asymptotic analysis, definition of… ECS 120 6c:3 asymptotic analysis, definition of O() and o()	ECS 120 6c:3 asymptotic analysis, definition of O() and o() g. functions definition bounds f. times function rate growth delta bound linear n. algorithm constants infinity limit equals notation exponent From David Doty 1 likes 225 plays 0
06:58 ECS 120 5a:4 direct proof that uu is not regular ECS 120 5a:4 direct proof that uu is not regular	ECS 120 5a:4 direct proof that uu is not regular string language half zeros symbols dfa proof equals reason element g. p. repetitions reasoning parts fact words statement difference answer From David Doty 1 likes 63 plays 0
06:39 ECS 120 4b:3 NFAs can simulate RRGs proof ECS 120 4b:3 NFAs can simulate RRGs proof	ECS 120 4b:3 NFAs can simulate RRGs proof epsilon dfa nfa grammar construction rules g. language rule arrow parts start variables sigma transitions terminal variable gamma row determinism From David Doty 1 likes 162 plays 0
05:16 ECS 120 4b:2 RRGs can simulate DFAs proof ECS 120 4b:2 RRGs can simulate DFAs proof	ECS 120 4b:2 RRGs can simulate DFAs proof string rule sequence production d. start transition computation variable subset rules epsilon values g. grammar dfa symbol hindi pre definition From David Doty 1 likes 159 plays 0
14:34 Lec1.1.2. Conditional probability. Lec1.1.2. Conditional probability.	Lec1.1.2. Conditional probability. Minilecture 1.1.2, week 1, lecture 1, part2, also called b. BIS101 Comai online Winter 2021. Conditional probability. bis101 probability dog question meiosis problem answer ears progeny cross lecture g. myocyte guys conclusion floppy space f. event fact types From Luca Comai 0 likes 321 plays 0
35:53 2020-12-09-a: Modeling with convex multipliers… 2020-12-09-a: Modeling with convex multipliers (MAT 168 Optimization)	2020-12-09-a: Modeling with convex multipliers (MAT 168 Optimization) Modeling with convex multipliers. notes-2020-12-09-a.pdf Videos and all other materials are copyright 2020 Matthias Köppe and shared as Open Educational Resources subject to the Creative… lambda convex points hull triangle formulation thing combinations variables combination solutions vector triangles theorem g. times point integer theodore sum From Matthias Koeppe 0 likes 23 plays 0