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This is a compulsory course for BE (2nd Year) Mechanical students at TIET, Patiala, India

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12:22

Introduction to Optimization Techniques

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13:06

Formulation |Part 1| Linear Programming Problem

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12:39

Formulation |Part 2| Linear Programming Problem

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14:54

Formulation |Part 3| Linear Programming Problem

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16:38

LPP Formulations | Practice Set | Part 1

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31:21

LPP Formulations | Practice Set | Part 2

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21:36

Graphical Method |Part 1| Linear Programming-Unique and Alternate/Infinite Solution

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13:24

Graphical Method |Part 2| Linear Programming-Unbounded Region-Bounded/Unbounded LPP, Infeasible LPP

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22:35

Basic Solutions |Part 1| Linear Programming Problem- Basic /Feasible Solutions

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27:07

Basic Solution |Part 2| Linear Programming Problem- Degenerate/Non-degenerate Basic Solution

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7:10

Standard Form |Part 1| Linear programming Problem

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13:28

Standard Form |Part 2| Linear Programming Problem

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24:34

Mathematics Behind Simplex Method |Part-1| Matrices, Determinant, Linear equations

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22:31

Mathematics Behind Simplex Method |Part-2| Vectors, Hyperplane, Polyhedron

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17:11

Mathematics Behind Simplex Method |Part 3| Convex Sets, Convex Hull

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13:20

Mathematics Behind Simplex Method |Part 4| Some Basic results on Convex sets

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8:56

Mathematics Behind Simplex Method |Part-5| Convex Linear Combination, Vertex/Extreme/ Corner Points

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4:04

Mathematics Behind Simplex Method |Part-6| What is Simplex

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14:01

Mathematics Behind Simplex Method |Part 7| Fundamental Theorem of LPP

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18:53

Mathematics Behind Simplex Method |Part-8| Optimality and Feasibility Criteria

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8:43

Simplex Method |Part-1| Introduction & Transition from Algebraic to Simplex Method|

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9:01

Simplex Method |Part 2| Simplex Table Layout

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25:54

Simplex Method |Part 3| Solution of Maximization Problem

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18:23

Simplex Method |Part 4| Minimization Problem

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4:42

Simplex Method |Part 5| LPP having Unbounded Solution

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13:40

Simplex Method |Part 6| LPP having Unique, Alternate and Infinite Optimal Solutions

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20:29

Simplex Method |Part 7| Summary of Simplex Method and Transition to Big-M & Two Phase Methods

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7:52

Simplex Method |Part 8| Introduction and Use of Artificial Variables

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24:56

Simplex Method |Part 9| Big-M Method

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13:06

Simplex Method |Part 10| Two-Phase Method-Infeasible Solution

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20:24

Simplex Method |Part 11| Two Phase Method (Feasible Optimal Solution)

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13:05

Simplex Method | Part 12| Big M & Two Phase Method | Unbounded Solution

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9:14

Simplex Method |Part 13| Tie in Entering Variable

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11:10

Simplex Method | Part 14| Tie in Leaving Variable/Minimum Ratio

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13:41

Simplex Method | Part 15| Solving LPP without artificial variables

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12:22

Simplex Method | Part 16| Construction of Simplex Table for given basic Variables

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10:22

Simplex Method | Part 17| Missing Entries in two Consecutive Simplex Tables

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12:07

Simplex Method | Part 18| Solving System of Linear Equations using Simplex method

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8:46

Simplex Method | Part 19| Finding Inverse of matrix using Simplex Method

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24:10

Dual | Part 1| How to write Dual of a Primal

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13:49

Dual |Part 2| How to write dual from Primal

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15:47

Weak Duality Theorem

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20:44

Dual | How to find Dual Variable Value

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5:37

Dual | Directly writing Dual Variables's value from Primal optimal Table

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31:37

Optimization Techniques-Duality-Complementary Slackness Conditions

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28:19

Optimization Techniques-Dual Simplex Method

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15:01

What is Post Optimality (Part-1)/Sensitivity Analysis

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14:35

Post Optimality Analysis (Part-2)-Change in Cost Coefficient

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17:47

Post Optimality Analysis (Part-3)- Change in Requirement/Resource/RHS of Constraint

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7:59

Post optimality (Part-4)-Change in Coefficient matrix

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20:24

Post Optimality Analysis (Part-6)-Addition of a constraint

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10:39

Post Optimality (Part 5)-Addition of a variable

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16:16

Integer Programming Problem (Part-1) What is IPP

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45:18

Integer Programming Problem (Part-2) Branch and Bound Technique to Solve IPP

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16:02

Transportation Problem (Part-1): What is Transportation Problem/Mathematical Formulation

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22:54

Transportation Problem (Part-2): Necessary & Sufficient condition, Balanced TP

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25:41

Transportation Problem (Part-3) North West corner method to find Initial BFS

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13:54

Transportation Problem (Part-4): Examples of North west Corner Method/ Balanced TP/Degenerate BFS

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26:12

Transportation Problem (Part-5): Least Cost method and Tie in cost/Degenerate BFS

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16:08

Transportation Problem (Part-6): Vogel's Approximation Method

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14:08

Transportation Problem (Part-7): Examples of Vogel's Approximation Method

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16:16

Transportation Problem (Part-8): Unbalanced Transportation Problem

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18:11

Transportation Problem (Part-9): Dual of a Transportation Problem

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16:57

Transportation Problem (Part-10): UV Method/Optimal Solution of a Transportation Problem

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36:11

Transportation Problem (Part-11): Loop in Transportation Problem

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10:50

Transportation Problem (Part-12): Example of a Transportation Problem Involving many Loops

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14:18

Transportation Problem (Part-13): Alternate Optimal Solution in Transportation Problem

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7:39

Transportation Problem (Part-14): Maximization Transportation Problem

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24:54

Transportation Problem (Part-15): Restricted Transportation Problem

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31:25

Assignment Problem (Part-1) Introduction/Formulation/Balanced/Unbalanced AP

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11:54

Assignment Problem (Part-2) Introduction to Hungarian Method to Solve Assignment Problem

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18:24

Assignment Problem (Part-3) Hungarian Method to solve Assignment Problem

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19:23

Assignment Problem (Part-4) Unbalanced / Alternate Optimal Solution in Assignment Problem

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16:12

Assignment Problem (Part-5) Maximization/Restricted Assignment Problem

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12:11

Project Management (Part-1) Introduction to Network Problem/Project Management

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26:28

Project Management (Part-2) Construction of Network in Project Management

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35:51

Project Management (Part-3) Earliest/Latest time/Time duration of Project, Critical Path in Network

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20:51

Project Management (Part-4) Float (Total/Free/Independent) Time of Event and Activites in Project

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33:25

Project Management (Part-5) Crashing/Scheduling in Project Management

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14:36

Game Theory (Part-1) Introduction and Prisoner's Dilemma

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29:37

Game Theory(Part-3) 2x2 Two person Zero Sum Game Without Saddle Point

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26:50

Game Theory (Part 2) Saddle Point and MaxMin/MinMax Criteria.

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27:31

Game Theory(Part-4) 2xn and mx2 Two person - Zero Sum Game

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16:10

Game Theory (Part-5)- LPP Formulation of mxn Two Person Zero Sum Game

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18:56

Introduction to Simulation

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10:24

Random Numbers and Mid Square Method

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11:07

Linear Congruential Generator Method | Random Numbers

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13:44

Linear Feedback Shift Register Method For Random Sequnecs of Bits