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Department of Mathematicstheory

LINEAR OPTIMIZATION

MAT 4405

Syllabus

  • 01Introduction to Linear Programming: Basic Solution, Hyperplane, Convex Polyhedron
  • 02Simplex Method: Duality Theorem, Complementary Slackness, Farkes' Lemma, Revised Simplex Method
  • 03General LP Problems: Infeasibility, Sensitivity Analysis
  • 04Primal-Dual Algorithm: Applications to Network Flow and Matching
  • 05Efficient Algorithm: Linear Programming in fixed dimensions, Randomized Linear Programming
  • 06Integer Linear Programming: Total Unimodularity
  • 07Semidefinite Programming: Application to MAXSAT problems
  • 08Dynamic programming - Deterministic Dynamic programming, and probabilistic Dynamic programming
  • 09Queuing systems, different types of queuing models, simulation models
  • 10Finite Markov process and Markovian birth – death processes

References

  • Bronson Richard - theory and Problems of Operations Research - Schaum series- MGH, 1983
  • Hamdy A. Taha - operations Research (Ed.5) PHI, 1995
  • Hiller and Liberman, Introduction to Operation Research, PHI, 1995
  • V. Chavtal, Linear Programming, W. H. Freeman and Company, New York, 1983
  • C. H. Papadimitriou and K. steiglitz, Combinatorial optimization: Algorithms and Complexity, Dover Publications, Inc., New York, 1998
  • M. Grotschel, L. Lovasz and A. Schrijver, Geometric Algorithms and Combinatorial Optimization, John Wiley & Sons, Inc., New York, 1998
  • W. Cook, W. H. Cunningham, W. R. Pulleyblank and A. Schrijver, Combinatorial Optimization, John Wiley & Sons, Inc., New York, 1998
  • R. Motwani and P. Raghavan, Randomized Algorithms, Cambridge University Press, 1995
  • David G. Luenberger, and Yinyu Ye Linear and Nonlinear Programming, Springer 2016
Credits Structure
3Lecture
0Tutorial
0Practical
3Total