Applied max and min. Steps for solving an optimization problem Read the problem drawing a picture as you read Label all constants and variables as you.

Slides:



Advertisements
Similar presentations
The Derivative in Graphing and Applications
Advertisements

3.7 Modeling and Optimization
AP Calculus Review: Optimization
OPTIMIZATION © Alex Teshon Daffy Durairaj.
Section 3.1 – Extrema on an Interval. Maximum Popcorn Challenge You wanted to make an open-topped box out of a rectangular sheet of paper 8.5 in. by 11.
To optimize something means to maximize or minimize some aspect of it… Strategy for Solving Max-Min Problems 1. Understand the Problem. Read the problem.
Optimization 4.7. A Classic Problem You have 40 feet of fence to enclose a rectangular garden along the side of a barn. What is the maximum area that.
Applications of Differentiation
4.4 Optimization Finding Optimum Values. A Classic Problem You have 40 feet of fence to enclose a rectangular garden. What is the maximum area that you.
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. The methods we have learned in this chapter for finding extreme values have practical applications in many areas of.
4.6 Optimization The goal is to maximize or minimize a given quantity subject to a constraint. Must identify the quantity to be optimized – along with.
Chapter 5 Applications of the Derivative Sections 5. 1, 5. 2, 5
10.6 Equations of a Circle Standard Equation of a Circle Definition of a Circle.
Applications of Differentiation Section 4.7 Optimization Problems
Lesson 4.4 Modeling and Optimization What you’ll learn about Using derivatives for practical applications in finding the maximum and minimum values in.
Applied Max and Min Problems Objective: To use the methods of this chapter to solve applied optimization problems.
Who wants to be a Millionaire? Hosted by Kenny, Katie, Josh and Mike.
4.7 Applied Optimization Wed Jan 14
CHAPTER 3 SECTION 3.7 OPTIMIZATION PROBLEMS. Applying Our Concepts We know about max and min … Now how can we use those principles?
Applied Max and Min Problems
{ ln x for 0 < x < 2 x2 ln 2 for 2 < x < 4 If f(x) =
Do Now: ….. greatest profit ….. least cost ….. largest ….. smallest
Linearization , Related Rates, and Optimization
Section 4.4 Optimization and Modeling
Lesson 4-7 Optimization Problems. Ice Breaker Using a blank piece of paper: Find the extrema (maximum) of A(w) = 2400w – 2w² A’(w) = 2400 – 4w A’(w) =
AP CALCULUS AB Chapter 4: Applications of Derivatives Section 4.4:
Graphing. 1. Domain 2. Intercepts 3. Asymptotes 4. Symmetry 5. First Derivative 6. Second Derivative 7. Graph.
1.Read 3. Identify the known quantities and the unknowns. Use a variable. 2.Identify the quantity to be optimized. Write a model for this quantity. Use.
4.4 Modeling and Optimization Buffalo Bill’s Ranch, North Platte, Nebraska Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly,
4.7 Optimization Problems In this section, we will learn: How to solve problems involving maximization and minimization of factors. APPLICATIONS OF DIFFERENTIATION.
Midterm Review Calculus. UNIT 0 Page  3 Determine whether is rational or irrational. Determine whether the given value of x satisfies the inequality:
Calculus Vocabulary 4.4 Modeling and Optimization Strategy for Solving Max-Min Problems 1.Understand the Problem: Read the problem carefully. Identify.
Warm up Problems Assume for a continuous and differentiable function, f (-1) = -2 and f (3) = 6. Answer the following true or false, then state the theorem.
Example Ex. Find Sol. So. Example Ex. Find (1) (2) (3) Sol. (1) (2) (3)
Warmup- no calculator 1) 2). 4.4: Modeling and Optimization.
Implicit Differentiation. Objective To find derivatives implicitly. To find derivatives implicitly.
Section 4.5 Optimization and Modeling. Steps in Solving Optimization Problems 1.Understand the problem: The first step is to read the problem carefully.
Applied max and min. Georgia owns a piece of land along the Ogeechee River She wants to fence in her garden using the river as one side.
4.1 Extreme Values of Functions
Applied Max and Min Problems (Optimization) 5.5. Procedures for Solving Applied Max and Min Problems 1.Draw and Label a Picture 2.Find a formula for the.
Optimization Problems
MTH 251 – Differential Calculus Chapter 4 – Applications of Derivatives Section 4.6 Applied Optimization Copyright © 2010 by Ron Wallace, all rights reserved.
Copyright © Cengage Learning. All rights reserved. Applications of Differentiation.
Applied max and min. 12” by 12” sheet of cardboard Find the box with the most volume. V = x(12 - 2x)(12 - 2x)
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.
Warm up Problem A rectangle is bounded by the x-axis and the semicircle. What are the dimensions of the rectangle with the largest area?
A25 & 26-Optimization (max & min problems). Guidelines for Solving Applied Minimum and Maximum Problems 1.Identify all given quantities and quantities.
6.2: Applications of Extreme Values Objective: To use the derivative and extreme values to solve optimization problems.
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:
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Maximum-Minimum (Optimization) Problems OBJECTIVE  Solve maximum and minimum.
Ch. 5 – Applications of Derivatives 5.4 – Modeling and Optimization.
AP CALCULUS AB FINAL REVIEW APPLICATIONS OF THE DERIVATIVE.
Chapter 12 Graphs and the Derivative Abbas Masum.
Sect. 3-7 Optimization.
Ch. 5 – Applications of Derivatives
OPTIMIZATION PROBLEMS
5-4 Day 1 modeling & optimization
AIM: How do we use derivatives to solve Optimization problems?
Applications of Differential Calculus
Optimization Problems
AP Calculus BC September 30, 2016.
Optimization Problems
Modeling and Optimization
Optimization Rizzi – Calc BC.
Unit 5: Introduction to Differential Calculus
Sec 4.7: Optimization Problems
Calculus I (MAT 145) Dr. Day Wednesday March 27, 2019
Optimization and Related Rates
Presentation transcript:

Applied max and min

Steps for solving an optimization problem Read the problem drawing a picture as you read Label all constants and variables as you read If you have two unknowns, write a secondary equation Usually the first thing given Find the variable that you want to optimize and write the primary equation Eliminate one variable from the primary equation using the secondary equation Determine the domain of the new primary equation Differentiate the primary equation Set the derivative equal to zero Solve for the unknown Check the endpoints or run a first or second derivative test

Read the problem drawing a picture as you read Label all constants and variables as you read Inside a semicircle of radius R.

Semicircle of radius 6. If you have two unknowns, write a secondary equation. Usually the first thing given.

Write the equation of a circle, centered at the origin of radius 6. A. x + y = 36 B. x 2 + y 2 = 6 C. x 2 + y 2 = 36 D. y =

We identify the primary equation by the key word maximizes or minimizes Find the value of x that maximizes the blue area.

Find the rectangle with the largest area Find the value of x that maximizes the blue area.

Which of the following is the primary equation? A. A = x y B. A = 2 x y C. A = ½ x y D. A = 4 x y

Eliminate one variable from the primary equation using the secondary equation A(x) = 2xy = 2x(6 2 - x 2 ) ½ A 2 = 4x 2 (36 - x 2 ) = 144x 2 - 4x 4

Differentiate A 2 = 144x 2 - 4x 4 implicitly. A. A’ = 288x - 16x 3 B. 2AA’ = 144x - 8x C. A’ = 144x – 16x D. 2AA' = 288x - 16x 3

AA' = 144x - 8x 3 = 0 Solve for x AA' = 144x - 8x 3 = 0 Solve for x A. x= 0, 3 root(2), - 3 root(2) B. x = 6 root(2), - 6 root(2) C. x = 0, 3, -3 D. x = 3/root(2), - 3/root(2)

Check the endpoints or run a first or second derivative test AA' = 18x - x 3 = x(18 – x 2 ) A' = 0 when x = 3 root(2) or x = 0 AA’(3)= > 0 AA’(6) = < 0

AA’(3)= > 0 AA’(6) = AA’(6) = < 0 A. There is a local max at x = 3 root(2) B. Neither a max nor min at 3 root(2) C. There is a local min at x = 3 root(2) D. Inflection point at x = 3 root(2)

Steps for solving an optimization problem Read the problem drawing a picture as you read Label all constants and variables as you read If you have two unknowns, write a secondary equation Usually the first thing given Find the variable that you want to optimize and write the primary equation Eliminate one variable from the primary equation using the secondary equation Determine the domain of the new primary equation Differentiate the primary equation Set the derivative equal to zero Solve for the unknown Check the endpoints or run a first or second derivative test

Build a rain gutter with the dimensions shown. Base Area = h(b+1) BA = sin(  )[cos(  )+1] V=

BA = sin(  )[cos(  )+1] V= A. 20 sin(  )[cos(  )+1] B. 20 sin(  ) 2 [cos(  )+1] 2 C. sin(  )[cos(  )+1] 2 D. sin(  ) 2 [cos(  )+1]

Find  that maximizes the volume V = 20 BA V = 20 sin(  )[cos(  ) + 1 ] V’ =

V=20 sin(  )[cos(  )+1] dV/d  = A. 20 sin(  )[cos(  )+1] B. 20 cos(  ) sin(  ) C. 20[sin(  )(- sin(  ))+(cos(  )+1)cos(  )] D cos(  ) sin(  )

Find  that maximizes the volume V’ = 20sin(  )[-sin(  )]+[cos(  ) + 1]20 cos(  ) = 20 cos 2 (  ) - 20 sin 2 (  ) + 20 cos(  ) = 20[2 cos(  ) - 1][cos(  ) + 1] = 0

20[2 cos(  ) - 1][cos(  ) + 1] = 0 Solve for  on . A.  /3 or  B.  /2 or  C.  /6 or  D.  /3 or 

Find  that maximizes the volume of the gutter V’ = 20[2 cos(  ) - 1][cos(  ) + 1] = 0 2 cos(  ) = 1 or cos(  ) = -1  or 

Find  that maximizes the volume of the gutter V’ = 20 cos 2 (  ) - 20 sin 2 (  ) + 20 cos(  ) V’’ = -40 cos(  )sin(  ) – 40 sin(  )cos(  ) -20 sin(  ) V’’(  ) = -40(½) – 40 (½) - 20 a local maximum at x =  a local maximum at x =  V”(  ) = 0 -> Test fails

Local max at  =  /3 V’ = 20 cos 2 (  ) - 20 sin 2 (  ) + 20 cos(  ) V’(  /2) = -20 V’(3  /2) = -20 Second derivative test failed First derivative test says decreasing on [  /3,  ]

GSU builds 400 meter track. 400 = 2x +  d

Soccer requires a maximum of green area A = xd, but d = because 400 = 2x +  d So A =

Soccer requires a maximum green rectangle So A = and A’ = when x = 100 meters and A’ = when x = 100 meters A” =

Soccer requires a maximum green area 400 = 2x +  d and when x = 100 meters 200 =  d or d = 200 / 