August 2004
Intermediate to advanced
656 pages
15h 28m
English
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Optimizing Multiple Alternatives with a Single Decision Variable
A slightly more complex use of optimization is when there are multiple alternatives and their functions are driven by the same, single decision variable.
Cost1 = F1(DecisionVariable)
Cost2 = F2(DecisionVariable)
. . .
The general approach in this situation is to first find the optimum point for each of the alternatives, using either the brute-force or elegant approach described for a single alternative with a single decision variable. The second step is to compare the value for each alternative at its respective optimum point. Choose the alternative with the best value at its optimum point. Figure 20.3 shows this situation graphically. Alternative A1 has its optimum point at P, whereas ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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