Lec-22 Maximum Flow Problem

Course Lectures

• Lec-1 Introduction and Linear Programming

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• Lec-2 Revised Simplex Algorithm

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• Lec-3 Simplex Method for Bounded Variables

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• Lec-4 One Dimensional Cutting Stock Problem

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• Lec-5 One Dimensional Cutting Stock Problem(Contd)

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• Lec-6 Dantzig-Wolfe Decomposition Algorithm

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• Lec-7 Dantzig-Wolfe Decomposition Algorithm Primal-Dual Algorithm

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• Lec-8 Primal-Dual Algorithm

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• Lec-9 Goal Programming-Formulations

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• Lec-10 Goal Programming Solutions Complexity of Simplex Algorithm

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• Lec-11 Complexity of Simplex Algorithm(Contd) Integer Programming

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• Lec-12 Integer Programming-Formulations

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• Lec-13 Solving Zero-One Problems

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• Lec-14 Solving Zero-One Problems(Contd)

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• Lec-15 Branch And Bond Algorithm For Integer Programming

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• Lec-16 Cutting Plane Algorithm

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• Lec-17 All Integer Primal Algorithm

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• Lec-18 All Integer Dual Algorithm

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• Lec-19 Network Models

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• Lec-20 Shortest Path Problem

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• Lec-21 Successive Shortest Path Problem

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• Lec-22 Maximum Flow Problem

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• Lec-23 Minimum Cost Flow Problem

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• Lec-24 Traveling Salesman Problem(TSP)

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• Lec-25 Branch and Bound Algorithms for TSP

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• Lec-26 Heuristics for TSP

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• Lec-27 Heuristics for TSP(Contd)

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• Lec-28 Chinese Postman Problem

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• Lec-29 Vehicle Routeing Problem

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• Lec-30 Queueing Models

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• Lec-31 Single Server Queueing Models

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• Lec-32 Multiple Server Queueing Models

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• Lec-33 Game Theory

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• Lec-34 Critical Path Method

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• Lec-35 Quadratic Programming

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• Lec 36 - Integer Programming(continued)

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• Lec 37 - All Integer Dual Algorithm

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• Lec 38 - Mixed Integer Linear Programming

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• Lec 39 - Benders Partitioning Algorithm

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