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Introduction to Constrained Optimization

Introduction to Constrained Optimization

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Enter the Objective Function After you have the feasible region and the corner points, it’s time to consider the objective function. x 1 x 2 (0, 0) (0, 10.8) (17, 0) (8, 6) The simplest way to optimize is to find the value of the objective function by plugging in each point, then choose the best one.

  Objectives, Optimization

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