Maximum and Minimum Values What is the shape of a can that minimizes manufacturing costs? What is the maximum acceleration of a space shuttle? (This is.

Slides:



Advertisements
Similar presentations
Maxima and Minima in Plane and Solid Figures
Advertisements

4.3 Derivatives and the shapes of graphs 4.4 Curve Sketching
Calculus 30 C30.6 Demonstrate understanding of the application of derivatives to solve problems including: optimization rates of change related rates.
Sir Isaac Newton 1643 – 1727 Sir Isaac Newton 1643 – 1727 Isaac Newton was the greatest English mathematician of his generation. He laid the foundation.
4.5 Optimization Problems Steps in solving Optimization Problems 1.Understand the Problem Ask yourself: What is unknown? What are the given quantities?
APPLICATIONS OF DIFFERENTIATION 4. So far, we have been concerned with some particular aspects of curve sketching:  Domain, range, and symmetry (Chapter.
APPLICATIONS OF DIFFERENTIATION 4. The methods we have learned in this chapter for finding extreme values have practical applications in many areas of.
Copyright © 2006 Brooks/Cole, a division of Thomson Learning, Inc.
Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization.
DERIVATIVES Related Rates In this section, we will learn: How to compute the rate of change of one quantity in terms of that of another quantity.
Section 3.7 – Optimization Problems. Optimization Procedure 1.Draw a figure (if appropriate) and label all quantities relevant to the problem. 2.Focus.
Chapter 5 Applications of the Derivative Sections 5. 1, 5. 2, 5
Section 3.6 – Curve Sketching. Guidelines for sketching a Curve The following checklist is intended as a guide to sketching a curve by hand without a.
Put your TEST CORRECTIONS next to you on your table. I’ll collect it.
Applications of Differentiation Section 4.7 Optimization Problems
Applications of Extrema Lesson 6.2. A Rancher Problem You have 500 feet of fencing for a corral What is the best configuration (dimensions) for a rectangular.
Calculus highlights for AP/final review
Section 4.4 Optimization and Modeling
Chapter 4 – Applications of Differentiation
Curve Sketching Lesson 5.4. Motivation Graphing calculators decrease the importance of curve sketching So why a lesson on curve sketching? A calculator.
4.7 Optimization Problems In this section, we will learn: How to solve problems involving maximization and minimization of factors. APPLICATIONS OF DIFFERENTIATION.
Steps in Solving Optimization Problems:
DO NOW PLEASE 1.Put your TEST CORRECTIONS next to you on your table. I’ll collect it. 2.Solve: If f(2) = 20, and f’(2)= 0.6 what is the approximate value.
3.4 Applications of Minima and Maxima 1 Example: For a short time interval, the current i (in amperes) in a circuit containing an inductor is given by.
Example Ex. Find Sol. So. Example Ex. Find (1) (2) (3) Sol. (1) (2) (3)
Da Nang-11/2013 Natural Science Department – Duy Tan University Lecturer: Ho Xuan Binh Optimization Problems. In this section, we will learn: How to solve.
Section 3.5 Summary of Curve Sketching. THINGS TO CONSIDER BEFORE SKETCHING A CURVE Domain Intercepts Symmetry - even, odd, periodic. Asymptotes - vertical,
Section 4.5 Optimization and Modeling. Steps in Solving Optimization Problems 1.Understand the problem: The first step is to read the problem carefully.
4.1 Extreme Values of Functions
Example: All variables are function of time t, then differentiate with respect to t. Z increases at rate of 10 units/s means that Z decreases at rate of.
Sir Isaac Newton 1643 – 1727 Sir Isaac Newton 1643 – 1727 Isaac Newton was the greatest English mathematician of his generation. He laid the foundation.
Optimization. First Derivative Test Method for finding maximum and minimum points on a function has many practical applications called Optimization -
Copyright © Cengage Learning. All rights reserved. 4 Applications of Differentiation.
CHAPTER Continuity Optimization Problems. Steps in Solving Optimizing Problems : 1.Understand the problem. 2.Draw a diagram. 3.Introduce notation.
Example: All variables are function of time t, then differentiate with respect to t. Z increases at rate of 10 units/s means that Z decreases at rate of.
Optimization Problems Section 4-4. Example  What is the maximum area of a rectangle with a fixed perimeter of 880 cm? In this instance we want to optimize.
3.5 Graphing Functions. Slide Guidelines for studying and graphing a function:  (a) Define the domain.  (b)Are there Vertical asymptotes? Horizontal.
Sec 4.6: Applied Optimization EXAMPLE 1 An open-top box is to be made by cutting small congruent squares from the corners of a 12-in.-by-12-in. sheet of.
3.9 Related Rates In this section, we will learn: How to compute the rate of change of one quantity in terms of that of another quantity. DIFFERENTIATION.
Sec 4.7: Optimization Problems EXAMPLE 1 An open-top box is to be made by cutting small congruent squares from the corners of a 12-in.-by-12-in. sheet.
STEPS IN SOLVING OPTIMIZATION PROBLEMS 1.Understand the Problem The first step is to read the problem carefully until it is clearly understood. Ask yourself:
3 DERIVATIVES.
Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization.
Optimization Buffalo Bill’s Ranch, North Platte, Nebraska
APPLICATIONS OF DIFFERENTIATION
Copyright © Cengage Learning. All rights reserved.
OPTIMIZATION PROBLEMS
Copyright © Cengage Learning. All rights reserved.
3.5 Summary of Curve Sketching
Summary Curve Sketching
Applications of Derivatives
Second Derivative Test
3.5 Graphing Functions.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
APPLICATIONS OF DIFFERENTIATION
APPLICATIONS OF DIFFERENTIATION
AP Calculus March 10 and 13, 2017 Mrs. Agnew
4.7 Optimization Problems.
Z increases at rate of 10 units/s Z decreases at rate of 10 units/s
Copyright © Cengage Learning. All rights reserved.
4.1 Maximum and Minimum Values
Copyright © Cengage Learning. All rights reserved.
Sec 4.7: Optimization Problems
Copyright © Cengage Learning. All rights reserved.
- Derivatives and the shapes of graphs - Curve Sketching
4.5 Optimization Problems
Presentation transcript:

Maximum and Minimum Values What is the shape of a can that minimizes manufacturing costs? What is the maximum acceleration of a space shuttle? (This is an important question to the astronauts who have to withstand the effects of acceleration.) What is the radius of a contracted windpipe that expels air most rapidly during a cough? At what angle should blood vessels branch so as to minimize the energy expended by the heart in pumping blood?

What Does the First Derivative Function Say about the Original Function

What Does the Second Derivative Function Say about the Original Function

Indeterminate Forms and L’Hospital’s Rule

Summary of Curve Sketching The following checklist is intended as a guide to sketching a curve by hand. 1.Find the Domain of the Function. 2.Find y-Intercepts and x-Intercepts. 3. Find all the Asymptotes of the Function..

4. Find out the Intervals of Increase or Decrease. 5. Find out the Local Maximum and Minimum Points. 6. Find out the Concavity and Points of Inflection. 7.Analyze the Function in a Table. 8.Sketch the Curve; Using the Information in Items Sketch the asymptotes as dashed lines. Plot the intercepts, maximum and minimum points, and inflection points. Then make the curve pass through these points, rising and falling according to 4, with concavity according to 6, and approaching the asymptotes.

Optimization Problems A businessperson wants to minimize costs and maximize profits. A traveler wants to minimize transportation time. Fermat’s Principle in optics states that light follows the path that takes the least time. A farmer wants to have a filed which has the largest area but he has fixed limited of fencing to fence the filed. We are going to solve such problems as maximizing areas, volumes, and profits and minimizing distances, times, and costs.

Steps in Solving Optimization Problems 1. Understand the Problem The first step is to read the problem carefully until it is clearly understood. Ask yourself: What is the unknown? What are the given quantities? What are the given conditions? 2. Draw a Diagram In most problems it is useful to draw a diagram and identify the given and required quantities on the diagram. 3. Introduce Notation Assign a symbol to the quantity that is to be maximized or minimized (let’s call it Q ). Also select symbols a,b,c,… for other unknown quantities and label the diagram with these symbols. It may help to use initials as suggestive symbols for example, A for area, h for height, t for time.

4.Express Q in terms of some of the other symbols. If Q has been expressed as a function of more than one variable, use the given information to find relationships (in the form of equations) among these variables. Then use these equations to eliminate all but one of the variables in the expression for Q. Thus, Q will be expressed as a function of one variable x, say, 5. Use the derivative function to find the absolute maximum or minimum value of f. If the domain of f is a closed interval, then the Closed Interval Method in Section 4.1 can be used.

Newton’s Method

Antiderivatives