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Lec-22 Maximum Flow Problem

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Indian Institute of Technology Madras
Mechanical - Advanced Operations Research
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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