Math 2.0

Resources / course

Linear Programming Problems 1KW7M6KGBF

URIm2://res/1KW7M6KGBF
Kindcourse
CreatorsAparna Mehra (instructor)
Scopein
Idscourse 049tgcd06:111102012

Expressions

e1: edition

Languageen
Contents
  • part 1: Knowledge to Begin With
  • session 1: Linear programming modeling, Optimal solutions and grap
  • session 2: Notion of convex set, convex function, their prope
  • session 3: Preliminary definitions (like convex combination,
  • session 4: Optimal hyper-plane and existence of optimal solut
  • part 2: Solution Concept in Linear Programs
  • session 5: Basic feasible solutions: algebraic interpretation
  • session 6: Relationship between extreme points and correspond
  • session 7: Adjacent extreme points and corresponding BFS alo
  • session 8: Fundamental theorem of LPP and its illustration th
  • part 3: The Simplex Algorithm
  • session 9: LPP in canonical form to get the initial BFS & meth
  • session 10: Case of unbounded LPP, Simplex algorithm and illustrati
  • session 11: Artificial variables and its interpretation in co
  • part 4: The Two Phase Method
  • session 12: Two phase method and illustration
  • session 13: Degeneracy and its consequences including cases of cycl
  • part 5: Linear Programming Duality
  • session 14: Introduction to duality & formulation of dual LPP for d
  • session 15: Duality theorems and their interpretations
  • session 16: Complementary slackness theorem, Farkas Lemma, Ex
  • session 17: Economic interpretation & applications of duality
  • session 18: Dual simplex method and its illustration
  • part 6: Post Optimality Analysis
  • session 19: Post optimality analysis: the cases of change in re
  • session 20: Sensitivity analysis for addition and deletion of
  • session 21: Lecture 3
  • part 7: Karmarkar’s Interior Point Method
  • session 22: Karmarkar's interior point method
  • session 23: How to model the given LPP in Karmarkar's framewo
  • session 24: Complexity issue of Karmarkar's method
  • part 8: Integer Programming
  • session 25: Integer programming: modeling & a look at its feasi
  • session 26: Gomory cut algorithm and derivation of cut equatio
  • session 27: Examples
  • session 28: Branch and Bound algorithm
  • part 9: Transportation and Assignment Problems
  • session 29: Special LPPs: Transportation programming problem, m
  • session 30: Initial BFS and optimal solution of balanced TP pr
  • session 31: Other forms of TP and requisite modifications
  • session 32: Assignment problems and permutation matrix
  • session 33: Hungarian Method
  • session 34: Duality in Assignment Problems
  • part 10: Some Applications of Linear Programming
  • session 35: Network Problems and LPP Formulation
  • session 36: Network Simplex Method:

Catalogue records