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52:04 MAT 168 Optimization lecture-2023-03-01 MAT 168 Optimization lecture-2023-03-01	MAT 168 Optimization lecture-2023-03-01 dictionary bar basis variable simplex solution star variables method coefficients function inequality x2 minus zeta alright pivot problem x1 feasibility From Matthias Koeppe 0 likes 16 plays 0
51:08 MAT 168 Optimization lecture-2023-02-27 MAT 168 Optimization lecture-2023-02-27	MAT 168 Optimization lecture-2023-02-27 bar dictionary basis complementarity solution solutions variables problem method simplex side pair degeneracy notation optimality complimentarity star hat idea alright From Matthias Koeppe 0 likes 15 plays 0
51:20 lecture-2023-02-03.mov lecture-2023-02-03.mov	lecture-2023-02-03.mov solution algorithm lambda basis bar variables problem dictionary hand point inequality variable function step form formula update thing simplex exam From Matthias Koeppe 0 likes 17 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 0 likes 20 plays 0
43:34 LP Polyhedra-Lec11 LP Polyhedra-Lec11	LP Polyhedra-Lec11 more on simplex method polyhedra solution dictionary variable variables equation basics method problem simplex increment function x3 process values x1 pivot moment situation column phase From Jesus De Loera 0 likes 36 plays 0
01:12:38 Guido Montufar: Optimal Transport to Independence… Guido Montufar: Optimal Transport to Independence Models	Guido Montufar: Optimal Transport to Independence Models See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd distance model function distribution space wasserstein images linear models problem simplex image geometry solution probability perspective polytope metric optimization transport From Naoki Saito 0 likes 41 plays 0
49:05 2020-11-23: Cutting plane algorithms (MAT 168… 2020-11-23: Cutting plane algorithms (MAT 168 Optimization)	2020-11-23: Cutting plane algorithms (MAT 168 Optimization) Separation of constraints within a cutting-plane algorithm for solving an LP with exponentially many constraints. Warm starts: Adding a valid inequality to a dictionary by rewriting it in the… solution problem variables dictionary formulation inequality method solver lp relaxation constraint solutions simplex sum constraints cut tilde optimization inequalities bar From Matthias Koeppe 0 likes 26 plays 0
59:53 2020-11-16: LP duality, complementarity (MAT 168… 2020-11-16: LP duality, complementarity (MAT 168 Optimization)	2020-11-16: LP duality, complementarity (MAT 168 Optimization) Dual (complementary) basis; dual dictionary, negative transpose property of the dictionary pair; complementarity of primal and basic dual solutions; dual simplex method; complementary slackness… dictionary variables basis bar method simplex solution solutions coefficients theorem problem complementarity thing slack optimality sum side fact feasibility function From Matthias Koeppe 0 likes 39 plays 0
46:08 2020-11-02: Transportation, min-cost flow… 2020-11-02: Transportation, min-cost flow problems (MAT 168 Optimization)	2020-11-02: Transportation, min-cost flow problems (MAT 168 Optimization) Structure of the node-arc incidence matrix, rank deficiency. Generalizing the classic transportation problem to transportation problems with transshipment nodes, and to general (single commodity)… matrix arcs flow demand network method simplex row node rows constraint side supply rank structure constraints outflow problem transshipment warehouses From Matthias Koeppe 0 likes 31 plays 0
50:18 2020-10-28: LP pivot rules, fundamental theorem… 2020-10-28: LP pivot rules, fundamental theorem (MAT 168 Optimization)	2020-10-28: LP pivot rules, fundamental theorem (MAT 168 Optimization) Pivot rules. Unboundedness. The simplex method with lexicographic perturbation and a deterministic pivot rule as an algorithm. Fundamental theorem of linear optimization. Preview of LP development… phase problem solution optimality basis dictionary method simplex rules rule theorem bit pivot point ratio variables thing variable choices algorithm From Matthias Koeppe 0 likes 30 plays 0
48:49 2020-10-26: Simplex method with perturbations… 2020-10-26: Simplex method with perturbations (MAT 168 Optimization)	2020-10-26: Simplex method with perturbations (MAT 168 Optimization) Resolving degeneracy using lexicographic perturbations. Finite termination of the simplex method with lexicographic perturbations. notes-2020-10-26.pdf Videos and all other materials are copyright… step method basis simplex epsilon things numbers dictionary function problem bar solutions length problems times hand steps degeneracy side degenerate From Matthias Koeppe 0 likes 37 plays 0
48:55 2020-10-19: Primal simplex method, phase I (MAT… 2020-10-19: Primal simplex method, phase I (MAT 168 Optimization)	2020-10-19: Primal simplex method, phase I (MAT 168 Optimization) Primal phase I of the simplex method. Definition of extreme points. notes-2020-10-19.pdf Videos and all other materials are copyright 2020 Matthias Köppe and shared as Open Educational… problem solution variable point pivot method function variables basis objective feasibility tool simplex x2 idea hand dictionary ratio thing times From Matthias Koeppe 0 likes 81 plays 0
55:52 berkeley-combinatoricsseminar-April2020 berkeley-combinatoricsseminar-April2020	berkeley-combinatoricsseminar-April2020 I gave the following lecture in Zoom (COVID 19 era): Combinatorics in the Space of Monotone Paths of a Convex PolytopeAbstract Using a linear functional f on a convex polytope P induces an… mathematical sciences geometry (mathematics) graph theory and combinatorial geometry optimization combinatorics monotone polytope graph paths path vertex polytopes function simplex point method questions linear pivot vertices rule essences numbers question rules From Jesus De Loera 0 likes 29 plays 0