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Algorithm for Shooting Method, by Niket S.Kaisare

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Assignment Problems, by Debjani Chakraborty

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Big-M Method, by Debjani Chakraborty

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Classical Optimization Techniques : Single Variable Optimization, by Debjani Chakraborty

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Constrained Geometric Programming Problem, by Debjani Chakraborty

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Convex Programming Problems, by S. K. Gupta

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Convex Sets and Functions, by S. K. Gupta

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Critical Path Analysis, by Debjani Chakraborty

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Dual Simplex Method, by Debjani Chakraborty

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Dynamic Programming Approach to Find Shortest Path in any network., by S. K. Gupta

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Dynamic Programming Problem (Contd.), by Debjani Chakraborty

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Dynamic Programming Problem, by Debjani Chakraborty

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Dynamic Programming-I, by S. K. Gupta

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Dynamic Programming-II, by S. K. Gupta

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Dynamic Programming-IV, by S. K. Gupta

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Error Analysis for Simpson’s Rules, by Niket S.Kaisare

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Fast Fourier Transforms, by P.B. Sunil Kumar

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Fibonacci Method, by Debjani Chakraborty

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Formulation of LPP, by Debjani Chakraborty

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Geometric Programming-I, by S. K. Gupta

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Geometric Programming-II, by S. K. Gupta

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Geometric Programming-III, by S. K. Gupta

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Geometry of LPP and Graphical Solution of LPP, by Debjani Chakraborty

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Golden Section Methods, by Debjani Chakraborty

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Integer Programming-I, by Debjani Chakraborty

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Integer Programming-II, by Debjani Chakraborty

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Interior and Exterior Penulty Function Method, by Debjani Chakraborty

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Interpolation Methods, by Debjani Chakraborty

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Introduction to Duality Theory, by Debjani Chakraborty

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Introduction to Geometric Programming, by Debjani Chakraborty

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Introduction to Transportation Problems, by Debjani Chakraborty

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KKT Optimality Conditions, by S. K. Gupta

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Lec 18: Introduction to Monte Carlo Technique, by Saurabh Basu

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Lec 19: Details of the Monte Carlo Method, by Saurabh Basu

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Lec 8: Numerical Differentiation, by Saurabh Basu

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Lec 9: Numerical Differentiation, Error Analysis, by Saurabh Basu

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Lec_03_Moving from one Basic Feasible Solution to Another, Optimality criteria., by Prabha Sharma

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Lecture 1 : Introduction to Optimization, by A. Goswami

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Lecture 10: Problems on BIG-M Method, by A. Goswami

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Lecture 17: Optimizationof Fuzzy Reasoning and Clustering Tool, by Dilip Kumar Pratihar

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Lecture 18: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.), by Dilip Kumar Pratihar

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Lecture 19: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.), by Dilip Kumar Pratihar

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Lecture 2 : Assumptions & Mathematical Modeling of LPP, by A. Goswami

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Lecture 20: Optimizationof Fuzzy Reasoning and Clustering Tool (Contd.), by Dilip Kumar Pratihar

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Lecture 21: Examples on Dual Simplex Method, by A. Goswami

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Lecture 22 : Lemke-Howson Algorithm I, by Prof.K.S. Mallikarjuna Rao

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Lecture 22: Interger Linear Programming, by A. Goswami

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Lecture 23 : Lemke-Howson Algorithm II, by Prof.K.S. Mallikarjuna Rao

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Lecture 23: Interger Linear Programming, by A. Goswami

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Lecture 24 : Lemke-Howson Algorithm III, by Prof.K.S. Mallikarjuna Rao

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