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Lec 12, Apr 24.mp4 duration 51 minutes 22 seconds Lec 12, Apr 24.mp4 Lec 12, Apr 24.mp4	Lec 12, Apr 24.mp4 stock model credit securities asset risk variable variables wealth friend market payoff investment equation function things stuff payoffs parameters parameter From Robert Ferydouni 0 likes 0 plays 0
#maptimeDavis: Introduction to Spatial Statistics… duration 1 hour 53 minutes #maptimeDavis: Introduction to Spatial Statistics… #maptimeDavis: Introduction to Spatial Statistics in R - 2021-05-04	#maptimeDavis: Introduction to Spatial Statistics in R - 2021-05-04 We often see that values observed in closer spatial proximity are more alike than those from distant locations, and thus the data may not be independent. This can cause problems, and… #maptimedavis spatial statistics r language datalab datalab event datalab workshop model point points observations plot distance locations function color reader thing covariance distribution packages package things field lot predictions workshop From Glenda Gaines 0 likes 1 plays
Lecture 3, Apr 5.mp4 duration 1 hour 3 minutes Lecture 3, Apr 5.mp4 Lecture 3, Apr 5.mp4	Lecture 3, Apr 5.mp4 tails heads probability event coin omega events sigma thing observer flip model point tail class element head function space flips From Robert Ferydouni 0 likes 1 plays 0
MATH168L24 duration 51 minutes 8 seconds MATH168L24 MATH168L24	MATH168L24 solution problem epsilon transpose things dictionary constraints variables method degeneracy simplex function dual bit thing optimization optimality primal progress property From Acadia Larsen 0 likes 2 plays 0
L15MATH168 duration 49 minutes 43 seconds L15MATH168 L15MATH168	L15MATH168 Discussion of simplex method with respect to convergence, degeneracy of pivots, pivot rules, and optimality. Improvement of theorems in previous lectures so now we can guarantee that the simplex… problem basis solution pivot infeasibility method simplex variable phase degeneracy proof dictionary optimality ratio thing steps function procedure column objective From Acadia Larsen 0 likes 4 plays 0
MATH168L12 duration 50 minutes 15 seconds MATH168L12 MATH168L12	MATH168L12 Simplex method computations with a discussion of dictionaries and corresponding solutions. solution basis function variable quarters dictionary problem optimality times step form direction formula basics hand proof variables format things objective From Acadia Larsen 0 likes 4 plays 0
MATH168L11 duration 53 minutes 36 seconds MATH168L11 MATH168L11	MATH168L11 Terminology and notation for the simplex method. Dictionaries, basis, slack variables, basic feasible solutions and the relationship between these. Certification of results in terms of the objective… solution basis variables times function hat problem dictionary values step slack matrix problems variable thing notation simplex optimization components vector From Acadia Larsen 0 likes 2 plays 0
MAT168L10 duration 50 minutes 40 seconds MAT168L10 MAT168L10	MAT168L10 Terminology for simplex method is defined in this lecture. This is written is matrix form. Examples are in the following lectures. hat solution basis problem matrix inverse transpose columns variables solutions function slack vector bases optimization bit bar thing things equations From Acadia Larsen 0 likes 11 plays 0
MATH168L7 duration 41 minutes 30 seconds MATH168L7 MATH168L7	MATH168L7 Travelings Sales Man Problem formulation. edges edge vector cycle model space things equation thing question degree constraint quantity function cardinality tour optimization equations delta From Acadia Larsen 0 likes 2 plays 0
MATH168L6 duration 51 minutes 9 seconds MATH168L6 MATH168L6	MATH168L6 Modeling matching problems in graphs and introducing traveling sales man problem. edges matching edge problem graph vector optimization solution cardinality thing vertex cycle inequalities function distance tour direction sum model functions From Acadia Larsen 0 likes 3 plays 0
MATH168L5 duration 51 minutes 15 seconds MATH168L5 MATH168L5	MATH168L5 This lecture covers integer variables and modeling of combinatorial problems with integer variables. The example used GRAPH MATCHING. edges edge matching encoding graph subset problem optimization vertex elements incident space function sets prime notation graphs definition relaxation end From Acadia Larsen 0 likes 4 plays 0
MATH168L3 duration 45 minutes 29 seconds MATH168L3 MATH168L3	MATH168L3 This lecture formulates objective functions for the model in the previous lecture. function hours fairness delta optimization solution vector prime criteria student discrepancy criterion modeling parameter column transpose cost model things schedule From Acadia Larsen 0 likes 3 plays 0
MAT168L2 duration 49 minutes 53 seconds MAT168L2 MAT168L2	MAT168L2 MAT 168 Winter 2024, Lecture 2 - modeling problems in optimization. vector hours decision space function constraint slots times constraints decisions matrix class summation vectors capital union notation thing things participant From Acadia Larsen 0 likes 5 plays 0
Navigating your Career Journey at UC Davis &… duration 41 minutes 31 seconds Navigating your Career Journey at UC Davis &… Navigating your Career Journey at UC Davis & UC Davis Health 11_14_23	Navigating your Career Journey at UC Davis & UC Davis Health 11_14_23 Discover your hidden talents and propel your career to new heights! Join us for an insightful session on Career Tracks and transferrable skills. You will gain valuable knowledge on job families and… cdw career development week community staff survey staff experience survey employees human resources job career skills salary functions scale title families things chat analyst knowledge tracks folks compensation series thing function standards bit From Carmen Soriano 0 likes 8 plays 0
Navigating your Career Journey at UC Davis &… duration 39 minutes 33 seconds Navigating your Career Journey at UC Davis &… Navigating your Career Journey at UC Davis & UC Davis Health 11_14_23	Navigating your Career Journey at UC Davis & UC Davis Health 11_14_23 Discover your hidden talents and propel your career to new heights! Join us for an insightful session on Career Tracks and transferrable skills. You will gain valuable knowledge on job families and… job career skills salary functions scale title families things analyst knowledge tracks chat folks compensation series thing function standards bit From Carmen Soriano 0 likes 2 plays 0
Heavy ion mini course session 13 duration 1 hour 44 minutes Heavy ion mini course session 13 Heavy ion mini course session 13	Heavy ion mini course session 13 Particle production modeling using negative binomial distribution, NBD, in order to fit data from STAR and CMS. Discussion of convolution (convolving the NBD with the Ncoll distribution from the… physics heavy ion physics distribution model function point energy parameters collision convolution thing parameter call interval error collisions nucleus things times particle events points From Manuel Calderon de la Barca Sanchez 0 likes 17 plays 0