IE-513 Linear Programming
Prof. Barbaros Tansel
2010-2011- Spring
Theory, algorithms, and computational aspects of linear programming. Formulation of problems as linear programs. Development of simplex algorithm, geometry of simplex method, duality theory, and economic interpretations. Sensitivity analysis. Variants of simplex method..
| Lecture 41 (2011-05-11) Network simplex method for lower and upper bounded minimum cost network flow problems | ||
| Lecture 40 (2011-05-09) Minimum cost network flows (cont'd) | ||
| Lecture 39 (2011-05-09) Minimum cost network flows (cont'd) | ||
| Lecture 38 (2011-05-04) Introduction to minimum cost network flow problems | ||
| Lecture 37 (2011-05-02) Decomposition (cont'd) | ||
| Lecture 36 (2011-05-02) Decomposition (cont'd) | ||
| Lecture 35 (2011-04-27) Parametric right hand sides and decomposition | ||
| Lecture 34 (2011-04-25) Range analysis and parametric costs | ||
| Lecture 33 (2011-04-25) Sensitivity analysis | ||
| Lecture 32 (2011-04-20) Dual simplex method | ||
| Lecture 31 (2011-04-18) Example and economical interpretation | ||
| Lecture 30 (2011-04-18) Duality theorems | ||
| Lecture 29 (2011-04-06) Duality (cont'd) | ||
| Lecture 28 (2011-04-04) Simplex for bounded variables and duality | ||
| Lecture 27 (2011-04-04) Simplex for bounded variables | ||
| Lecture 26 (2011-03-30) Revised simplex and simplex for bounded variables | ||
| Lecture 25 (2011-03-28) Revised Simplex method | ||
| Lecture 24 (2011-03-28) Degeneracy and resolution of cycling | ||
| Lecture 23 (2011-03-23) 2-Phase Method to find an initiating basic feasible solution | ||
| Lecture 22 (2011-03-21) Finding a starting basic feasible solution | ||
| Lecture 21 (2011-03-21) Simplex tableau in matrix form, alternative optima, unbounded solution | ||
| Lecture 20 (2011-03-16) Simplex Method in matrix form | ||
| Lecture 19 (2011-03-14) Simplex method explained in terms of basis matrices | ||
| Lecture 18 (2011-03-14) Simplex method example in dictionary form, equation form and tabular form | ||
| Lecture 17 (2011-03-07) Optimality of extreme points and unboundedness, simplex method example | ||
| Lecture 16 (2011-03-07) Directions and unbounded LPs, extreme directions, representation theorem | ||
| Lecture 15 (2011-03-02) Adjacent basic solutions, degeneracy, existence of extreme points, rays, directions of convex sets. | ||
| Lecture 14 (2011-02-28) Adjacent basic solutions, polyhedra in standard form and basic solutions for standard form. | ||
| Lecture 13 (2011-02-28) Equivalence of basic feasible solutions, extreme points and vertices | ||
| Lecture 12 (2011-02-23) Extreme points of polyhedra, basic and basic feasible solutions | ||
| Lecture 11 (2011-02-21) Subspaces, affine subspaces | ||
| Lecture 10 (2011-02-21) Convex hulls, extreme points, vertices | ||
| Lecture 9 (2011-02-16) Convexity, hyperplanes, half-spaces. | ||
| Lecture 8 (2011-02-14) Convex sets and convex functions | ||
| Lecture 7 (2011-02-14) Fourier-Motzkin elimination to solve linear inequality systems | ||
| Lecture 6 (2011-02-09) Conversions of constraints and variables. Requirements space | ||
| Lecture 5 (2011-02-07) Examples of linear programming formulation (cont | ||
| Lecture 4 (2011-02-07) Examples of linear programming formulation | ||
| Lecture 3 (2011-02-02) General form linear programming and matrix forms, two formulation examples | ||
| Lecture 2 (2011-01-31) Example continued with solution and general form of linear programming in canonical maximization form | ||
| Lecture 1 (2011-01-31) Brief history of linear programming and introductory example |
