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Quantitative Techniques: Theory and Problems by P. C. Tulsian, Vishal Pandey

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CONTENTS

Preface

1. Linear Programming – Formulation

Linear Programming

Decision Variables

Objective Function

Constraints

Non-negativity Restriction

Divisibility

Steps Involved in the Formulation of LP Problem

Product Mix Problems

Make or Buy Decision Problems

Choice of Alternative Problems

Sales Budget Problem

Product Budget Problem

Purchase Budget Problem

Portfolio Mix Problem

Advertising Problem

Capital Mix Problem

Diet Problem

Nutrition Problems

Bending Problems

Trim Problem

Transportation Problem

Job Schedulings

Assignment Problem

Theoretical Questions

Practical Questions

2. Linear Programming – Graphical Method

Closed Half Plane

Feasible Solution

Feasible Region

Convex Set

Convex Polygon

Extreme Points or Vertexes or Corner Points

Redundant ...

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