How Do You Approach Modeling and Optimization Problems?

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To effectively approach modeling and optimization problems, start by visualizing the scenario with a clear diagram and labeling all known information. Recognize that maximizing or minimizing a value typically requires differentiation, so be prepared to set the derivative equal to zero. Formulate an equation representing the quantity you want to optimize, ensuring it is expressed as a function of a single variable. This structured approach simplifies the problem-solving process and leads to a clearer path to the solution. Understanding these steps is crucial for tackling complex optimization challenges.
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We have just begun this topic and I'm really confused about how to approach questions, is there any trick or guideline for doing so?

Ex: Consider an isosceles right triangle whose hypotenuse is the x-axis and whose vertex is on the y-axis. If the hypotenuse is 2 units long, we'd have x-intercepts of -1 and 1. What is the largest area possible for a rectangle inscribed in the triangle?
 
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The first thing you need to do in this case is draw a picture of the given geometry and label it with known information. Since the goal is to maximize something, a trigger should go off in your head that you'll need to differentiate a function and set it equal to zero. Third, you need to develop an equation of the thing you are trying to optimize (in this case, area of a rectangle) as a function of a single variable (so you'll have something to solve for). That's pretty much it.
 
There are probably loads of proofs of this online, but I do not want to cheat. Here is my attempt: Convexity says that $$f(\lambda a + (1-\lambda)b) \leq \lambda f(a) + (1-\lambda) f(b)$$ $$f(b + \lambda(a-b)) \leq f(b) + \lambda (f(a) - f(b))$$ We know from the intermediate value theorem that there exists a ##c \in (b,a)## such that $$\frac{f(a) - f(b)}{a-b} = f'(c).$$ Hence $$f(b + \lambda(a-b)) \leq f(b) + \lambda (a - b) f'(c))$$ $$\frac{f(b + \lambda(a-b)) - f(b)}{\lambda(a-b)}...

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