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Indian Institute of Technology, Kharagpur
Lecture 1 : Introduction to Optimization.Lecture 2 : Assumptions & Mathematical Modeling of LPP.Lecture 3 : Geometrey of LPP.Lecture 4 : Graphical Solution of LPP- I.Lecture 5 : Graphical Solution of LPP- II.Lecture 6: Solution of LPP: Simplex Method.Lecture 7: Simplex Method.Lecture 8: Introduction to BIG-M Method.Lecture 9: Algorithm of BIG-M Method.Lecture 10: Problems on BIG-M Method.Lecture 11: Two Phase Method: Introduction.Lecture 12: Two Phase Method: Problem Solution.Lecture 13: Special Cases of LPP.Lecture 14: Degeneracy in LPP.Lecture 15: Sensitivity Analysis- I.Lecture 16: Sensitivity Analysis- II.Lecture 17: Problems on Sensitivity Analysis.Lecture 18: Introduction to Duality Theory- I.Lecture 19: Introduction to Duality Theory- II.Lecture 20: Dual Simplex Method.Lecture 21: Examples on Dual Simplex Method.Lecture 22: Interger Linear Programming.Lecture 23: Interger Linear Programming.Lecture 24: IPP: Branch & BBound Method.Lecture 25: Mixed Integer Programming Problem.Lecture 26 : Introduction to Transportation Problem - I.Lecture 27 : Transportation Problem - II.Lecture 28 : Vogel Approximation Method.Lecture 29 : Optimal Solution Generation for Transportation Problem.Lecture 30 : Degeneracy in TP and Overview of Assignment Problem.Lecture 31 : Introduction to Nonlinear programming.Lecture 32 : Graphical Solution of NLP.Lecture 33 : Types of NLP.Lecture 34 : One dimentional unconstrained optimization.Lecture 35 : Unconstrained Optimization.Lecture 36 : Region Elimination Technique-1.Lecture 37 : Region Elimination Technique-2.Lecture 38 : Region Elimination Technique-3.Lecture 39 : Unconstrained Optimization.Lecture 40 : Unconstrained Optimization.Lecture 41 : Multivariate Unconstrained Optimization-1.Lecture 42 : Multivariate Unconstrained Optimization-2.Lecture 43 : Unconstrained Optimization.Lecture 44: NLP with Equality Constrained-1.Lecture 45 : NLP with Equality Constrained-2.Lecture 46 : Constrained NLP - I.Lecture 47 : Constrained NLP - II.Lecture 48 : Constrained Optimization.Lecture 49 : Constrained Optimization (Contd.).Lecture 50 : KKT.Lecture 51 : Constrained Optimization.Lecture 52 : Constrained Optimization (Contd.).Lecture 53 : Feasible Direction.Lecture 54 : Penalty and Barrier Method.Lecture 55 : Penalty Method.Lecture 56 : Penalty and Barrier Method.Lecture 57 : Penalty and Barrier Method (Contd.).Lecture 58 : Dynamic Programming.Lecture 59 : Multi - Objective Decision Making.Lecture 60 : Multi-Attribute Decision Making.
Constrained and Unconstrained Optimization
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