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Are the following objective functions for an LP model equivalent? That is, if they are both used, one at a time, to solve a problem with exactly the same constraints, will the optimal values of X1 and X2 be the same in both cases? Why or why not? MAX: 2X1 + 3X2 MIN: -2X1 - 3X2
Why would they remain the same?
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Suppose 40 observations of a random system component have been recorded as shown in the table below (these numbers are sorted). 0.0345 0.1079 0.1313 0.1452 0.1788 0.2101 0.2249
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