Announcement Test 2 is on this coming Tuesday (2/24) in IML computer lab – ARM 213/215 Students must schedule an exam time in WebCT It covers material.

Slides:



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

3.7 Modeling and Optimization
§ 2.5 Optimization Problems.
Lesson 2-4 Finding Maximums and Minimums of Polynomial Functions.
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.
Section 4.5 The Derivative in Graphing and Applications: “Applied Maximum and Minimum Problems”
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?
Clicker Question 1 (0, 1) is a critical point for the function f (x ) = x 4 – 4x This point is a A. local maximum B. local minimum C. neither.
Homework Homework Assignment #26 Read Section 4.6 Page 256, Exercises: 1 – 89 (EOO), skip 37, 41 Rogawski Calculus Copyright © 2008 W. H. Freeman and Company.
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.
Quadratic Relations and Functions
Section 3.7 – Optimization Problems. Optimization Procedure 1.Draw a figure (if appropriate) and label all quantities relevant to the problem. 2.Focus.
Chapter 2 Polynomial and Rational Functions Copyright © 2014, 2010, 2007 Pearson Education, Inc Quadratic Functions.
CHAPTER 3 SECTION 3.7 OPTIMIZATION PROBLEMS. Applying Our Concepts We know about max and min … Now how can we use those principles?
Section 14.2 Application of Extrema
Section 4.4: Modeling and Optimization
Min-Max Problems Unit 3 Lesson 2b – Optimization 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
Section 4.4 Optimization and Modeling
4.7 Optimization Problems
4.4 Modeling and Optimization Buffalo Bill’s Ranch, North Platte, Nebraska Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly,
Optimization. Objective  To solve applications of optimization problems  TS: Making decisions after reflection and review.
Miss Battaglia AB/BC Calculus. We need to enclose a field with a fence. We have 500 feet of fencing material and a building is on one side of the field.
Optimization Section 4.7 Optimization the process of finding an optimal value – either a maximum or a minimum under strict conditions.
3x 2 4x 6 Write an expression that represents the area of the rectangle. Example 1 Steps for Exponent Applications 1) Write the appropriate formula 2)
Section 4.5 Optimization and Modeling. Steps in Solving Optimization Problems 1.Understand the problem: The first step is to read the problem carefully.
Performance Across the Bands. Algebra and Functions Algebra and Functions: Use letters, boxes, or other symbols to stand for any number in simple.
Section 3.7 Optimization Problems. FIRST DERIVATIVE TEST FOR ABSOLUTE EXTREME VALUES.
Optimization Problems
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.
Section 4.7. Optimization – the process of finding an optimal value- either a maximum or a minimum under strict conditions Problem Solving Strategy –
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.
A25 & 26-Optimization (max & min problems). Guidelines for Solving Applied Minimum and Maximum Problems 1.Identify all given quantities and quantities.
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.
Optimization Problems 1.Identify the quantity you’re optimizing 2.Write an equation for that quantity 3.Identify any constraints, and use them to get the.
6.2: Applications of Extreme Values Objective: To use the derivative and extreme values to solve optimization problems.
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:
Section Setting Up Word Problems. Lesson Objective: Students will: Learn to set up the type of complicated word problems that are often found in.
Sect. 3-7 Optimization.
Aim: How do we solve optimization problems? A rectangular enclosure is constructed using a barn wall as one side and 63 m of fencing for the other three.
4.5 Optimization II Dr. Julia Arnold
Ch. 5 – Applications of Derivatives
OPTIMIZATION PROBLEMS
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
5-4 Day 1 modeling & optimization
4.5 Optimization II Dr. Julia Arnold
4.7 Modeling and Optimization
Optimization Chapter 4.4.
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.
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
More About Optimization
Polynomial Functions.
AP Calculus BC September 29, 2016.
Optimization Problems
Optimization Problems
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Chapters 1 & 2 Review Day.
Optimisation.
Sketch the graph of each function. 1. −
Copyright © 2014, 2010, 2007 Pearson Education, Inc.
Sec 4.7: Optimization Problems
Tutorial 3 Applications of the Derivative
Optimization (Max/Min)
4.5 Optimization Problems
Presentation transcript:

Announcement Test 2 is on this coming Tuesday (2/24) in IML computer lab – ARM 213/215 Students must schedule an exam time in WebCT It covers material through section 2.6 Electronic formula sheet will be available…see WebCT for preview Calculators up to TI-86 are welcome No books or notes Bring your student ID Test review is on Monday (2/23)

Section 2.5 – Optimization Problems

Suggestions for Solving an Optimization Problem (Page 179) 1.Draw a picture, if possible. 2.Decide what quantity Q is to be optimized. 3.Assign letters to the quantities that may vary. 4.Determine the “objective equation” that expresses Q as a function of the variables assigned in step 3.

5.Find the constraint equation that relates the variables to each other and to any constraints that are given in the problem. 6.Use the constraint equation to simplify the objective equation in such a way that Q becomes a function of only one variable. Determine the domain of this function. 7.Sketch the graph of the function obtained in step 6 and use this graph to solve the optimization problem.

Problem 6, Page 180 Find two positive numbers x and y that maximize Q = x 2 y if x + y = 2

Problem 14, Page 180 Consider the problem of finding the dimensions of the rectangular garden of area 100 square meters for which the amount of fencing needed to surround the garden is as small as possible. a.Draw a picture of the rectangle and select appropriate letters for the dimensions b.Determine the objective and constraint equations. c.Find the optimal values for the dimensions.

Problem 17, Page 181 Find the dimensions of the closed rectangular box with square base and volume 8000 cubic centimeters that can be constructed with the least amount of material.