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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…
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Simplex method computations with a discussion of dictionaries and corresponding solutions.
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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…
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Terminology for simplex method is defined in this lecture. This is written is matrix form. Examples are in the following lectures.
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Travelings Sales Man Problem formulation.
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Modeling matching problems in graphs and introducing traveling sales man problem.
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This lecture covers integer variables and modeling of combinatorial problems with integer variables. The example used GRAPH MATCHING.
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This lecture formulates objective functions for the model in the previous lecture.
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MAT 168 Winter 2024, Lecture 2 - modeling problems in optimization.
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This is the first entry in DataLab's Bayesian series for Fall 2023. Stan is a
program that estimates Bayesian models, and R has a very nice interface. The copyright on
this video is owned by…
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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…
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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…
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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…
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Discussion of Monte Carlo methods. Monte Carlo integration example. 1-D random walk example.
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ECS-036A Lecture 2023-05-31 at 13:07
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