A key assumption of linear programming is that the equation for each of the output cells,including the target cell,can be expressed as a SUMPRODUCT (or SUM)function.

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Linear programming models assume that the equations for each of the output cells can be expressed as a linear combination of the input variables or factors, which can be represented using a SUMPRODUCT (or SUM) function. The objective is to optimize the linear function subject to constraints, such as capacity, demand, and other limitations. The solution involves finding a feasible region and identifying the optimal solution that maximizes or minimizes the objective function.

A Key Assumption of Linear Programming Is That the Equation