Note that as \(x\) becomes large, the height of the box \(y\) becomes correspondingly small so that \(x^2y=216\). Step 5: To determine the domain of consideration, let’s examine Figure \(\PageIndex{3}\). We don’t think in mathematical terms while solving it. Example: Q = g(x,y,h) 5. Example \(\PageIndex{1}\): Maximizing the Area of a Garden. Solving the constraint equation for \(y\), we have \(y=\dfrac{216}{x^2}\). Determine the maximum area if we want to make the same rectangular garden as in Figure \(\PageIndex{2}\), but we have \(200\,\text{ft}\) of fencing. To learn more, sign up to view selected examples online by functional area or industry. Let \(R\) be the revenue per day. Multi-objective optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Let \(A\) be the area of the rectangle. Let us start with a short list of problems. Example \(\PageIndex{2}\): Optimization: perimeter and area. COMP-424, Lecture 4 - January 16, 2013 3 Real-life examples of optimization problems • Scheduling – Given: a set of tasks to be completed, with durations and with mutual constraints (e.g. Step 5: From Figure \(\PageIndex{7}\), we see that to inscribe a rectangle in the ellipse, the \(x\)-coordinate of the corner in the first quadrant must satisfy \(0
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