Search for tag: "constraints"

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09:41 env200c New Institutionalism env200c New Institutionalism	env200c New Institutionalism New vs. old institutionalism, what are institutions anwyays? things institutions institutionalism rules constraints structures purpose sorts sort baseball idea expectations players ways organizations institution pennies problem power balls From Tyler Scott on April 27th, 2021 0 likes 30 plays 0
30:58 EGU talk (TN Buckley April 2021) EGU talk (TN Buckley April 2021)	EGU talk (TN Buckley April 2021) water cost function potential rate leaf curve risk photosynthesis transpiration model solution vulnerability temperature conductance problem strategy response tomato constraints From Tom Buckley on April 19th, 2021 0 likes 21 plays 0
01:24:32 ECS 289A Lecture 9a ECS 289A Lecture 9a	ECS 289A Lecture 9a base structure dna strand energy pairs pair strands kind structures bases thing probability constraints graph domains domain planar sequences constraint From David Doty on March 22nd, 2021 0 likes 10 plays 0
04:31 ECS 220 3b:5.4-4 Max-2-SAT ECS 220 3b:5.4-4 Max-2-SAT	ECS 220 3b:5.4-4 Max-2-SAT clauses formula problem clause cnf decision literals max negation solution assignment analysis pair iterate idea graph quest sat optimization constraints From David Doty on March 21st, 2021 0 likes 13 plays 0
03:57 ECS 220 2a:4.2-1 3-Coloring reduces to CNF-SAT ECS 220 2a:4.2-1 3-Coloring reduces to CNF-SAT	ECS 220 2a:4.2-1 3-Coloring reduces to CNF-SAT graph algorithm coloring color reduction formula planar clauses input colorable cnf constraints implications structure edge variables node answer graphs constraint From David Doty on March 21st, 2021 0 likes 38 plays 0
14:55 ECS 120 5c:4 formal definition of TM semantics ECS 120 5c:4 formal definition of TM semantics	ECS 120 5c:4 formal definition of TM semantics errata: At 4:38, I incorrectly said and wrote that L,R,S correspond to +1, -1, and 0. They correspond to -1, +1, and 0, i.e., moving left (L) decrements (-1) the tape head position, and moving right… tape configuration position turing symbol machine sequence prime head delta input content move configurations leftmost string semantics dfa constraints words From David Doty on March 20th, 2021 1 likes 98 plays 0
50:21 LP Polyhedra-Lec6 LP Polyhedra-Lec6	LP Polyhedra-Lec6 Fourier-Motzkin applied to Farkas lemma and duality polyhedra solution equation inequalities polyhedron equations elimination variables minus lemma function variable matrix vector thing constraints inequality linear bound transpose pair From Jesus De Loera on March 2nd, 2021 0 likes 25 plays 0
40:08 LP Polyhedra-Lec4.mp4 LP Polyhedra-Lec4.mp4	LP Polyhedra-Lec4.mp4 solution star vectors inequalities vertex equations transpose linear point polyhedron ai vector constraints algebra inequality function cube points solutions contradiction From Jesus De Loera on February 22nd, 2021 0 likes 29 plays 0
01:01:54 ECS 235B, Winter 2021; Lecture #16; February 10,… ECS 235B, Winter 2021; Lecture #16; February 10, 2021	ECS 235B, Winter 2021; Lecture #16; February 10, 2021 Foundations of Computer and Information Security. This covers DRM, RBAC, and begins Traducement. The class starts at 10:07 into the video. role roles key movie things model constraints content access estate server license sony thing permissions job bit functions apple session From Matt Bishop on February 10th, 2021 0 likes 30 plays 0
53:07 ECS 235B, Winter 2021; Lecture #11; January 29,… ECS 235B, Winter 2021; Lecture #11; January 29, 2021	ECS 235B, Winter 2021; Lecture #11; January 29, 2021 Foundations of Computer and Information Security. This covers the Clark-Wilson model and trust models. The class starts at 2:28 into the video. The reference to power comes from parts of Davis… transaction procedure trust bob integrity cdi rules bank procedures anna rule money constraints things carol model access enforcement certification wilson From Matt Bishop on January 29th, 2021 0 likes 28 plays 0
21:38 Lecture168-Algorithms1 Lecture168-Algorithms1	Lecture168-Algorithms1 This is the second section of the course MAT 168, we explain how solvers work. We cover topics such as Branch and bound, cutting planes, heuristics, and computational complexity. optimization algorithms solution variables solutions integer linear relaxation problem constraints problems points comma convex space times condition types equations lines kind programs From Jesus De Loera on January 25th, 2021 0 likes 72 plays 0
09:43 mat168-modeling11 mat168-modeling11	mat168-modeling11 optimization constraints problem money budget period projects function sum j. periods t. answer parameters cj goal dollars amount model profit moment From Jesus De Loera on January 6th, 2021 0 likes 53 plays 0
17:15 mat168-modeling10 mat168-modeling10	mat168-modeling10 optimization variables food variable sum amount parameters times things constraints function nutrition cost foods parameter manual grams nutrients distance statements functions From Jesus De Loera on January 6th, 2021 0 likes 62 plays 0
13:09 mat168-modeling9.mp4 mat168-modeling9.mp4	mat168-modeling9.mp4 cities edges equations problem function sum subset salesman question parameters constraints s. vertices solutions triangle highways bit cardinality cost constraint From Jesus De Loera on January 6th, 2021 0 likes 66 plays 0
15:24 mat168-modeling5 mat168-modeling5	mat168-modeling5 variables solutions crates types condition equation times alternatives variable kilograms weight problem universe computer values constraints possibility alternative sense forces From Jesus De Loera on January 2nd, 2021 0 likes 78 plays 0
20:22 mat168-modeling3 mat168-modeling3	mat168-modeling3 optimization profit vitamin corn carrots conditions table constraints quantities hops beef legs tables beer pounds cost amount variables problem barrel ale From Jesus De Loera on January 2nd, 2021 0 likes 83 plays 0