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| variables whose values are under our control and influence system influence |
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| Any feasible solution that also optimizes the objective function |
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| Measure of reward (cost) that results from choice of decision variable values |
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Transpose of a Matrix
(Example) |
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| limitations on the values of decision variables |
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| Static - decision variables don't involve sequences of decisions over time |
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| Any assignment of decision variables that satisfies ALL of the constraints |
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| Deterministics v. Stochastic |
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Deterministic - all problem parameters are known with certainty
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| Integer - decision variable must be integer valued |
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| linear - decision variables in the objective function and constraints are multiplied by constants and are added |
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for some constants c1, c2,.....,cn we can always write the function as
f(x1, x2,...., xn) = c1x1 + c2x2 +..... + cnxn |
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| inputs to the model beyond our control |
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| Scalar Multiple of a Matrix |
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