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IPM in Mustard & Soyabean, by Prabhuraj A(Instructor Incharge)

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Lecture_9_ Simplex Tableau & Algorithm ,Cycling, Bland’s Anti-Cycling Rules, Phase I & Phase II., by Prabha Sharma

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Lecture-16-Order Statistics, Covariance and correlation., by Prabha Sharma

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Lecture-30-Reducible Markov Chains, by Prabha Sharma

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Lecture_18_Shortest Path Problem, Primal-Dual Method, example., by Prabha Sharma

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Lecture_04_Basic Feasible Solutions, Existence & derivation., by Prabha Sharma

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Lecture-17-Covariance, Correlation, Cauchy-Schwarz Inequalities, Conditional expectation., by Prabha Sharma

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Lecture_11_Assignment 2, Progress of Simplex Algorithm on a Polytope, Bounded Variable LPP., by Prabha Sharma

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Lecture_10_ Big-M method,Graphical Solutions, Adjacent Extreme Pts and Adjacent bfs., by Prabha Sharma

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Lecture_19_Shortest Path Problem-Complexity, Interpretation of Dual Variables, Post-Optimality Analysis-Changes in the Cost vector., by Prabha Sharma

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Lecture_30_Starting Feasible Solution, Lexicographic Method for Preventing Cycling ,Strongly Feasible Solution, by Prabha Sharma

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Lecture-28-First Passage and first Return prob. Classification of states., by Prabha Sharma

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Lecture-36-M/M/S , M/M/I/K Models, by Prabha Sharma

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Lecture_34_Problem 3 (Assignment 7) , Min-Cut Max-Flow Theorem, Labelling algorithm., by Prabha Sharma

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Lecture_35_Max-Flow-Critical Capacity of an Arc, Starting Solution for Min-Cost Flow problem., by Prabha Sharma

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Lecture-19-Inequalities and bounds., by Prabha Sharma

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Lecture-08-Continuous Random Variables and their distributions., by Prabha Sharma

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Lecture_26_ Sensitivity analysis., by Prabha Sharma

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Lecture-21-Central Limit Theorem, by Prabha Sharma

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Lecture_27_ Sensitivity analysis., by Prabha Sharma

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Lecture_16_Primal-Dual algorithm., by Prabha Sharma

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Lecture-06-Discrete Random Variables and their Distributions, by Prabha Sharma

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Lecture-14-Chi – Square r. v., Sums of Independent Normal r. v., Conditional distr., by Prabha Sharma

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Lecture-13-Independent r. v. and their sums., by Prabha Sharma

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Lecture_24_Mini-Cost Flow Problem-Transportation problem., by Prabha Sharma

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Lecture-24-Convolutions, by Prabha Sharma

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Lecture-02-Sample Space , Events, Axioms of Probability, by Prabha Sharma

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Lecture-05-Discrete Random Variables and their Distributions, by Prabha Sharma

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Lecture-09-Continuous Random Variables and their distributions., by Prabha Sharma

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Lecture-12-Jointly Distributed Random Variables, Independent r. v. and their Sums, by Prabha Sharma

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