Free Online Flashcard Deck

7. Optimization and Approximation Free Online FlashCards

Study 7. Optimization and Approximation with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is optimization?

Back

Optimization finds the largest or smallest possible value of an objective quantity subject to one or more constraints.

02
Front

What is the general strategy for an optimization problem?

Back

The main steps are to identify the objective, define variables, write constraints, form a one-variable objective function, determine its domain, find critical points, test endpoints, and interpret the result.

03
Front

What rectangle maximizes area with perimeter 40 m?

Back

For a rectangle with perimeter 40 m, the maximum-area dimensions are 10 m by 10 m, giving an area of 100 m².

04
Front

What does the Extreme Value Theorem guarantee on [a,b]?

Back

If f is continuous on [a,b], it has an absolute maximum and minimum there; each occurs at an endpoint or at an interior critical point.

05
Front

How do you find absolute extrema on a closed interval?

Back

Evaluate the function at both endpoints and every critical point in the interval, then compare all values. The largest is the absolute maximum and the smallest is the absolute minimum.

06
Front

How does fixed volume constrain a cylinder’s dimensions?

Back

For a cylinder with fixed volume V, πr²h = V, so h = V/(πr²). This constraint lets surface area be written as a function of r alone.

07
Front

How are revenue and profit modeled in terms of quantity?

Back

Revenue is R(q) = q p(q), and profit is P(q) = R(q) − C(q), where q is quantity, p(q) is price, and C(q) is cost.

08
Front

When does the projectile h(t) = −16t² + 64t + 5 reach maximum height?

Back

For h(t) = −16t² + 64t + 5, the maximum occurs at t = 2 because h′(t) = −32t + 64 is zero; the maximum height is 69 ft.

09
Front

What is the linearization of f at x = a?

Back

The linearization of f at x = a is L(x) = f(a) + f′(a)(x − a). Near a, f(x) is approximately L(x).

10
Front

How does linearization approximate √4.1?

Back

Using f(x) = √x at a = 4 gives L(x) = 2 + ¼(x − 4), so √4.1 ≈ L(4.1) = 2.025.

11
Front

What is the differential of y = f(x)?

Back

For y = f(x), the differential is dy = f′(x) dx. When dx is small, dy approximates the actual change Δy.

12
Front

How does a small radius change affect circle area?

Back

For A = πr², dA = 2πr dr. At r = 10 cm and dr = 0.02 cm, dA = 0.4π cm² ≈ 1.257 cm².