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27:48 118CSpr21L25p2 118CSpr21L25p2	118CSpr21L25p2 Cyclization of Sugars ring sugar carbon structure sugars carbonyl glucose oxygen equilibrium projection beta linear fischer alpha anomer furanose pyranose reactions carbons stereocenter From Sarah Lievens on May 23rd, 2021 0 likes 355 plays 0
47:29 abiy.tasissa.5.11 abiy.tasissa.5.11	abiy.tasissa.5.11 Abstract: Sparse Manifold clustering and embedding (SMCE) is an algorithm to cluster nonlinear manifolds using self-representation in the dictionary of data points and a proximity regularization. A… points point problem atoms clustering coefficients dictionary reconstruction subspace algorithm graph sparsity coefficient network matrix representations linear representation manifold triangulation From Stefan Schonsheck on May 11th, 2021 0 likes 1 plays 0
30:58 118CSpr21L2p1 118CSpr21L2p1	118CSpr21L2p1 Nomenclature of Carboxylic Acids and Anhydrides acid acids nomenclature carbon carboxylic priority ring chain groups bond molecule space alcohol bit class derivatives numbers stereochemistry end linear From Sarah Lievens on March 30th, 2021 0 likes 496 plays 0
15:46 118CSpr21L2p2 118CSpr21L2p2	118CSpr21L2p2 Nomenclature of Acyl Halides and Esters alkyl ester carbon esters methyl chain groups ring benzyl acid halogen friday space carbonyl linear structure ethyl ether names carboxylate From Sarah Lievens on March 30th, 2021 0 likes 447 plays 0
01:21:21 ECS 289A Lecture 7a ECS 289A Lecture 7a	ECS 289A Lecture 7a linear leader function delta species things thing functions kind predicates input inputs stuff sense configurations proof increment machine integer semi From David Doty on March 22nd, 2021 0 likes 7 plays 0
15:53 ECS 220 9b:8.5 Immerman-Szelepcsényi… ECS 220 9b:8.5 Immerman-Szelepcsényi Theorem NSPACE(s(n)) = coNSPACE(s(n)) for s(n) ≥ log(n)	ECS 220 9b:8.5 Immerman-Szelepcsényi Theorem NSPACE(s(n)) = coNSPACE(s(n)) for s(n) ≥ log(n) space nodes reachability path algorithm node error steps bit proof paths length end graph zeros pad linear log guesses step From David Doty on March 21st, 2021 0 likes 15 plays 0
06:35 ECS 220 8a:8.1-1 space versus time, and… ECS 220 8a:8.1-1 space versus time, and read-only, write-only, and read-write memory	ECS 220 8a:8.1-1 space versus time, and read-only, write-only, and read-write memory space input memory machine turing computation complexity output linear usage sense bits access amount difference integer location storage write model From David Doty on March 21st, 2021 0 likes 19 plays 0
02:14 ECS 220 4c:6.3-4 P vs. NP vs. EXP… ECS 220 4c:6.3-4 P vs. NP vs. EXP nondeterministic time hierarchy theorem	ECS 220 4c:6.3-4 P vs. NP vs. EXP nondeterministic time hierarchy theorem np subset hierarchy problems machines simulation thing theorem linear problem xp complexity sort overhead talk lack end dimension x. exponent From David Doty on March 21st, 2021 0 likes 14 plays 0
07:37 ECS 220 4c:6.3-3 simulation slowdown and the Time… ECS 220 4c:6.3-3 simulation slowdown and the Time Hierarchy Theorem	ECS 220 4c:6.3-3 simulation slowdown and the Time Hierarchy Theorem steps subset problems programming languages machines language simulation catch-22 linear step log interpreter slowdown polynomial exponent end bit amount theorem From David Doty on March 21st, 2021 0 likes 15 plays 0
07:19 ECS 220 4a:6.1-3 collapse propagates up padding… ECS 220 4a:6.1-3 collapse propagates up padding technique	ECS 220 4a:6.1-3 collapse propagates up padding technique input length cubed algorithm deterministically problem question linear string x. end padding proof fact np cube function lot size season From David Doty on March 21st, 2021 0 likes 24 plays 0
04:10 ECS 220 2b:4.3-3 problems not obviously in NP ECS 220 2b:4.3-3 problems not obviously in NP	ECS 220 2b:4.3-3 problems not obviously in NP np problem integers size solution integer equation proof inequalities circuit function graph path variables equations linear witnesses bits answer question From David Doty on March 21st, 2021 0 likes 22 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 on March 20th, 2021 0 likes 90 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 on March 20th, 2021 0 likes 91 plays 0
32:54 LP Polyhedra-Lec13 LP Polyhedra-Lec13	LP Polyhedra-Lec13 perturbation method, complexity of simplex method, primal and dual dictionaries. polyhedra matrix variables dictionary method simplex function basis epsilon solution numbers slack problem variable algorithm algorithms linear expression rule inverse expressions From Jesus De Loera on March 7th, 2021 0 likes 11 plays 0
31:10 LP Polyhedra-Lec9 LP Polyhedra-Lec9	LP Polyhedra-Lec9 Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones. polyhedra polar cone inequalities vectors lambda vector inequality linear lemma matrix combinations theorem containment race columns s. representations representation description definition From Jesus De Loera on March 2nd, 2021 0 likes 28 plays 0
32:16 LP Polyhedra-Lec8 LP Polyhedra-Lec8	LP Polyhedra-Lec8 Weyl-Minkowski's theorem proved using Fourier Motzkin elimination and Polarity of cones. polyhedra cone vectors polyhedron representations convex inequalities combination linear cones combinations vector polytope minus matrix sum theorem representation magic coordinates dimension From Jesus De Loera on March 2nd, 2021 0 likes 30 plays 0