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Linear programming is a mathematical problem-solving method that takes into account constraints on inputs and outputs. In this video, CIMA P1 lecturer David Spiegel explains the various constraints involved in linear programming and how to solve the problem algebraically. The video also discusses the difference between the Simplex and Graphical methods of solving linear programming problems, with the latter being demonstrated.

**00:00:00**This lecture covers linear programming, which is a problem where you have to find a solution that maximizes a certain output. The problem is complicated by the fact that you may have multiple limited resources to work with, and you need to account for labor and material constraints. The lecturer discusses how to solve the problem algebraically, and demonstrates an example using demand and contribution data from a car company.**00:05:00**Linear programming is a mathematical method for solving problems where there are constraints on the inputs and outputs. In this video, CIMA P1 lecturer David Spiegel explains the various constraints involved in linear programming and how to solve the problem algebraically.**00:10:00**This video discusses the difference between the Simplex and Graphical methods of solving linear programming problems. The graphical method is explained, and a solution is shown.

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