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Analysis of optimal solutions in article on linear programming

机译:关于线性规划的文章中的最优解的分析

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Dear Editor,Although published in 2003, the article "Linear programming applied to healthcare problems"(1) is very up-to-date and important for the first contact with linear programming, particularly in the field of health. Congratulations to the author for this initiative. I analyzed this work to use it in a undergraduate degree in Mathematics. However, I observed the solutions obtained for the two problems described present inconsistencies that may lead readers with little experience to make mistakes. For the diet problem, the solutions found were ??1 = 1.4 and ??2 = 0.2. In reality, these values are approximations, since the real solutions are recurring decimals: ??1 = 339/248 ? 1.37 and ??2 = 41/248 ? 0.17. The values presented by the author show rounding to one decimal place, but this fact was omitted. Moreover, the value of the objective function for the optimal solution is described as ?? = R$ 2.55, but it occurs only when the values used are the real ones. For the approximation, it would be ?? = R$ 2.70, nearly 5.9% greater than the correct value. To give an idea of the effect the approximation causes, if ??2 = 41/248 were used, the salad portion would be 82.66g, and not 100g as shown (approximately 21% greater than the correct value).
机译:尊敬的编辑,尽管发表于2003年,但文章“将线性编程应用于医疗保健问题”(1)非常新,对于首次接触线性编程(特别是在医疗领域)非常重要。祝贺作者的这一倡议。我分析了这项工作,以便将其用于数学本科学位。但是,我观察到针对上述两个问题获得的解决方案存在不一致之处,这可能会使缺乏经验的读者犯错。对于饮食问题,找到的解决方案是?? 1 = 1.4和?? 2 = 0.2。实际上,这些值是近似值,因为实际解是递归的小数:?1 = 339/248? 1.37和?? 2 = 41/248? 0.17。作者提供的值显示四舍五入到小数点后一位,但是这一事实被忽略了。而且,用于最优解的目标函数的值被描述为Δε。 = R $ 2.55,但只有在使用的值是真实值时才会发生。对于近似值,将是?? = 2.70雷亚尔,比正确值高出近5.9%。为了给出近似效果的概念,如果使用Δε2 = 41/248,则色拉部分将为82.66g,而不是所示的100g(比正确值大大约21%)。

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