MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Size: px
Start display at page:

Download "MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question."

Transcription

1 Math324 - Test Review 2 - Fall 206 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Determine the vertex of the parabola. ) f(x) = x 2-0x + 33 ) (0, 5) (8, 0) (8, 5) (5, 8) 2) y = 5 (x + 4)2-2 2) (-4, -2) (2, 4) (-2, -4) (4, -2) Find the x- and y-intercepts. If no x-intercepts exist, state so. 3) f(x) = x 2-3x ) x-intercepts: (-4, 0), (8, 0); y-intercept: (0, 28) x-intercepts: (-5, 0), (7, 0); y-intercept: (0, 28) x-intercepts: (4, 0), (-7, 0); y-intercept: (0, -28) x-intercepts: (-4, 0), (7, 0); y-intercept: (0, -28) Solve the problem. 4) A ball is thrown vertically upward at an initial speed of 80 ft/sec. Its height (in feet) after t seconds 4) is given by h(t) = t(80-6t) What is the maximum height attained by the ball? 200 feet 00 feet 33.3 feet 88.9 feet 5) John owns a hotdog stand. His profit is represented by the equation P = -x 2 + 2x + 4, with P being profits and x the number of hotdogs. What is the most he can earn? $36 $83 $65 $77 5) Give the equation of the vertical asymptote(s) of the rational function. x + 8 6) g(x) = x 2 + 2x - 24 x = 6, x = -4 x = -8 x = -6, x = 4, y = 0 x = -6, x = 4 6) Give the equation of the horizontal asymptote of the rational function. 7) g(x) = 8-2x 2x + y = - y = 4 y = y = 0 7)

2 Solve the system of two equations in two variables. 8) 8x + 7y = 36 3x - 4y = -3 8) (, 4) (0, 5) No solution (, 5) Determine whether the given ordered set of numbers is a solution of the system of equations. 9) (6, -2) 9) x + y = 4 x - y = 8 Yes No Solve the system of two equations in two variables. 0) 5x - 2y = 8 0) 5x - 6y = 6 (0, -4) No solution (, 0) (, -.5) Solve the system by back substitution. ) x + 4y+ 4z = - ) 2y + 5z = -2 2z = - 0 (, -5, 2) No solution (-6, 2, -5) (, 2, -5) Write an augmented matrix for the system of equations. 2) 9x + 5y = 49 2) 2y = Use the Gauss-Jordan method to solve the system of equations. 3) x - y + 3z = -8 x + 5y + z = 40 5x + y + 3z = 0 3) (8, 0, 8) (0, 8, 0) (8, 8, 0) No solution Solve the problem. 4) What is the size of the matrix? 4) Perform the indicated operation where possible. 5) ) 2

3 Perform the indicated operation. 6) Let C = -3 2 and D = Find C - 3D. 6) Given the matrices A and B, find the matrix product AB. 7) A = 0 -, B = -2 0 Find AB. 7) Determine whether the two matrices are inverses of each other by computing their product. 8) 5 3 and No Yes 8) Find the inverse, if it exists, of the given matrix. 9) ) 20) A = )

4 Graph the feasible region for the system of inequalities. 2) 2x + y 4 2) x - 0 4

5 22) 22) x + 2y 2 x + y 0 5

6 A manufacturer of wooden chairs and tables must decide in advance how many of each item will be made in a given week. Use the table to find the system of inequalities that describes the manufacturer's weekly production. 23) Use x for the number of chairs and y for the number of tables made per week. The number of 23) work-hours available for construction and finishing is fixed. Hours per chair Hours per table Total hours available Construction Finishing x + 4y x + 3y x + 4y 48 2x + 3y 42 x 0 y 0 2x + 4y 48 2x + 3y 42 x 0 y 0 2x + 4y 48 2x + 3y 42 Find the value(s) of the function on the given feasible region. 24) 24) Find the maximum and minimum of z = 20x + 4y. 220, , 2 220, 2 20, 2 6

7 Use graphical methods to solve the linear programming problem. 25) Maximize z = 6x + 7y 25) subject to: 2x + 3y 2 2x + y 8 x 0 y 0 Maximum of 32 when x = 2 and y = 3 Maximum of 24 when x = 4 and y = 0 Maximum of 32 when x = 3 and y = 2 Maximum of 52 when x = 4 and y = 4 State the linear programming problem in mathematical terms, identifying the objective function and the constraints. 26) A breed of cattle needs at least 0 protein and 8 fat units per day. Feed type I provides 5 protein 26) and 3 fat units at $5/bag. Feed type II provides 4 protein and 4 fat units at $3/bag. Which mixture fills the needs at minimum cost? Minimize 3x + 5y Minimize 5x + 3y Subject to: 5x + 3y 0 Subject to: 5x + 4y 0 4x + 4y 8 3x + 4y 8 x, y 0. x, y 0. Minimize 5x + 3y Subject to: 5x + 4y 8 3x + 4y 0 x, y 0. Minimize 5x + 3y Subject to: 5x + 4y 8 3x + 4y 0 x, y 0. Convert the constraints into linear equations by using slack variables. 27) 27) Maximize z = 2x + 8x2 Subject to: x + 6x2 5 7x + 5x 2 25 x 0, x2 0 x + 6x2 = s + 5 7x + 5x2 = s x + 6x2 + s 5 7x + 5x2 + s2 25 x + 6x2 + s 5 7x + 5x 2 + s 2 25 x + 6x2 + s = 5 7x + 5x2 + s2 = 25 7

8 Introduce slack variables as necessary and write the initial simplex tableau for the problem. 28) Maximize z = 4x + x2 28) subject to: 2x + 5x2 3x + 3x2 9 x 0, x2 0 x x2 s s2 z x x2 s s2 z x x2 s s2 z x x2 s s2 z Find the pivot in the tableau. 29) 29) 2 in row 2, column 4 in row 2, column 2 2 in row, column 4 in row, column 3 Use the indicated entry as the pivot and perform the pivoting once. 30) 30) 8

9 Write the basic solution for the simplex tableau determined by setting the nonbasic variables equal to 0. 3) 3) x x2 x3 x4 x5 z x = 0, x2 = 0, x3 = 25, x4 = 0, x5 = 8, z = 9 x = 25, x2 = 0, x3 = 0, x4 = 0, x5 = 8, z = 9 x = 0, x2 = 0, x3 = 8, x4 = 0, x5 = 25, z = 9 x = 25, x2 = 0, x3 = 8, x4 = 0, x5 = 0, z = 9 A bakery makes sweet rolls and donuts. A batch of sweet rolls requires 3 lb of flour, dozen eggs, and 2 lb of sugar. A batch of donuts requires 5 lb of flour, 3 dozen eggs, and 2 lb of sugar. Set up an initial simplex tableau to maximize profit. 32) The bakery has 270 lb of flour, 220 dozen eggs, 250 lb of sugar. The profit on a batch of sweet 32) rolls is $6.00 and on a batch of donuts is $9.00. x x2 s s2 s3 s x x2 s s2 s3 s x x2 s s2 s3 s x x2 s s2 s3 s

10 Answer Key Testname: UNTITLED ) D 2) A 3) D 4) B 5) D 6) D 7) A 8) A 9) A 0) B ) D 2) B 3) D 4) A 5) C 6) B 7) B 8) B 9) A 20) B 2) A 22) D 23) B 24) C 25) C 26) B 27) D 28) C 29) B 30) D 3) A 32) C 0

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Math 4 review exam MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Convert the constraints into linear equations by using slack variables. ) Maximize

More information

Graph the linear inequality. 1) x + 2y 6

Graph the linear inequality. 1) x + 2y 6 Assignment 7.1-7.3 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Graph the linear inequality. 1) x + 2y 6 1) 1 2) x + y < -3 2) 2 Graph the

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 132 Eam 2 Review (.1 -.5, 7.1-7.5) SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Determine whether the given ordered set of numbers is a solution

More information

Exam 2 Review Math1324. Solve the system of two equations in two variables. 1) 8x + 7y = 36 3x - 4y = -13 A) (1, 5) B) (0, 5) C) No solution D) (1, 4)

Exam 2 Review Math1324. Solve the system of two equations in two variables. 1) 8x + 7y = 36 3x - 4y = -13 A) (1, 5) B) (0, 5) C) No solution D) (1, 4) Eam Review Math3 Solve the sstem of two equations in two variables. ) + 7 = 3 3 - = -3 (, 5) B) (0, 5) C) No solution D) (, ) ) 3 + 5 = + 30 = -, B) No solution 3 C) - 5 3 + 3, for an real number D) 3,

More information

FALL 2012 MATH 1324 REVIEW EXAM 2

FALL 2012 MATH 1324 REVIEW EXAM 2 FALL 0 MATH 3 REVIEW EXAM MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Find the order of the matri product AB and the product BA, whenever the

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Stud Guide for Test II Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Graph the linear inequalit. 1) 3 + -6 1) - - - - A) B) - - - - - - - -

More information

1. Introduce slack variables for each inequaility to make them equations and rewrite the objective function in the form ax by cz... + P = 0.

1. Introduce slack variables for each inequaility to make them equations and rewrite the objective function in the form ax by cz... + P = 0. 3.4 Simplex Method If a linear programming problem has more than 2 variables, solving graphically is not the way to go. Instead, we ll use a more methodical, numeric process called the Simplex Method.

More information

MAT135 Review for Test 4 Dugopolski Sections 7.5, 7.6, 8.1, 8.2, 8.3, 8.4

MAT135 Review for Test 4 Dugopolski Sections 7.5, 7.6, 8.1, 8.2, 8.3, 8.4 Sections 7.5, 7.6, 8.1, 8., 8., 8.4 1. Use the discriminant to determine the number and type(s) of solutions for 4x 8x 4 0. One real solution B. One complex solution Two real solutions Two complex solutions.

More information

6.2: The Simplex Method: Maximization (with problem constraints of the form )

6.2: The Simplex Method: Maximization (with problem constraints of the form ) 6.2: The Simplex Method: Maximization (with problem constraints of the form ) 6.2.1 The graphical method works well for solving optimization problems with only two decision variables and relatively few

More information

Math Homework 3: solutions. 1. Consider the region defined by the following constraints: x 1 + x 2 2 x 1 + 2x 2 6

Math Homework 3: solutions. 1. Consider the region defined by the following constraints: x 1 + x 2 2 x 1 + 2x 2 6 Math 7502 Homework 3: solutions 1. Consider the region defined by the following constraints: x 1 + x 2 2 x 1 + 2x 2 6 x 1, x 2 0. (i) Maximize 4x 1 + x 2 subject to the constraints above. (ii) Minimize

More information

Slide 1 Math 1520, Lecture 10

Slide 1 Math 1520, Lecture 10 Slide 1 Math 1520, Lecture 10 In this lecture, we study the simplex method which is a powerful method for solving maximization/minimization problems developed in the late 1940 s. It has been implemented

More information

Ω R n is called the constraint set or feasible set. x 1

Ω R n is called the constraint set or feasible set. x 1 1 Chapter 5 Linear Programming (LP) General constrained optimization problem: minimize subject to f(x) x Ω Ω R n is called the constraint set or feasible set. any point x Ω is called a feasible point We

More information

Learning Module 1 - Basic Algebra Review (Appendix A)

Learning Module 1 - Basic Algebra Review (Appendix A) Learning Module 1 - Basic Algebra Review (Appendix A) Element 1 Real Numbers and Operations on Polynomials (A.1, A.2) Use the properties of real numbers and work with subsets of the real numbers Determine

More information

1. (7pts) Find the points of intersection, if any, of the following planes. 3x + 9y + 6z = 3 2x 6y 4z = 2 x + 3y + 2z = 1

1. (7pts) Find the points of intersection, if any, of the following planes. 3x + 9y + 6z = 3 2x 6y 4z = 2 x + 3y + 2z = 1 Math 125 Exam 1 Version 1 February 20, 2006 1. (a) (7pts) Find the points of intersection, if any, of the following planes. Solution: augmented R 1 R 3 3x + 9y + 6z = 3 2x 6y 4z = 2 x + 3y + 2z = 1 3 9

More information

32. Use a graphing utility to find the equation of the line of best fit. Write the equation of the line rounded to two decimal places, if necessary.

32. Use a graphing utility to find the equation of the line of best fit. Write the equation of the line rounded to two decimal places, if necessary. Pre-Calculus A Final Review Part 2 Calculator Name 31. The price p and the quantity x sold of a certain product obey the demand equation: p = x + 80 where r = xp. What is the revenue to the nearest dollar

More information

Chapter 5 Linear Programming (LP)

Chapter 5 Linear Programming (LP) Chapter 5 Linear Programming (LP) General constrained optimization problem: minimize f(x) subject to x R n is called the constraint set or feasible set. any point x is called a feasible point We consider

More information

Chapter 4 The Simplex Algorithm Part I

Chapter 4 The Simplex Algorithm Part I Chapter 4 The Simplex Algorithm Part I Based on Introduction to Mathematical Programming: Operations Research, Volume 1 4th edition, by Wayne L. Winston and Munirpallam Venkataramanan Lewis Ntaimo 1 Modeling

More information

MATH150-E01 Test #2 Summer 2016 Show all work. Name 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3).

MATH150-E01 Test #2 Summer 2016 Show all work. Name 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3). 1. Find an equation in slope-intercept form for the line through (4, 2) and (1, 3). 2. Let the supply and demand functions for sugar be given by p = S(q) = 1.4q 0.6 and p = D(q) = 2q + 3.2 where p is the

More information

Math Models of OR: Some Definitions

Math Models of OR: Some Definitions Math Models of OR: Some Definitions John E. Mitchell Department of Mathematical Sciences RPI, Troy, NY 12180 USA September 2018 Mitchell Some Definitions 1 / 20 Active constraints Outline 1 Active constraints

More information

Math Models of OR: Handling Upper Bounds in Simplex

Math Models of OR: Handling Upper Bounds in Simplex Math Models of OR: Handling Upper Bounds in Simplex John E. Mitchell Department of Mathematical Sciences RPI, Troy, NY 280 USA September 208 Mitchell Handling Upper Bounds in Simplex / 8 Introduction Outline

More information

Section 4.1 Solving Systems of Linear Inequalities

Section 4.1 Solving Systems of Linear Inequalities Section 4.1 Solving Systems of Linear Inequalities Question 1 How do you graph a linear inequality? Question 2 How do you graph a system of linear inequalities? Question 1 How do you graph a linear inequality?

More information

Lecture 5 Simplex Method. September 2, 2009

Lecture 5 Simplex Method. September 2, 2009 Simplex Method September 2, 2009 Outline: Lecture 5 Re-cap blind search Simplex method in steps Simplex tableau Operations Research Methods 1 Determining an optimal solution by exhaustive search Lecture

More information

Linear Programming: Simplex Method CHAPTER The Simplex Tableau; Pivoting

Linear Programming: Simplex Method CHAPTER The Simplex Tableau; Pivoting CHAPTER 5 Linear Programming: 5.1. The Simplex Tableau; Pivoting Simplex Method In this section we will learn how to prepare a linear programming problem in order to solve it by pivoting using a matrix

More information

Chapter 4 Test Review. 1. Sketch the graph of the equation 3x + 5y = Sketch the graph of the equation 4x + 3y = 24.

Chapter 4 Test Review. 1. Sketch the graph of the equation 3x + 5y = Sketch the graph of the equation 4x + 3y = 24. Name Chapter 4 Test Review Per. 1. Sketch the graph of the equation 3x + 5y = 30. 2. Sketch the graph of the equation 4x + 3y = 24. 3. Sketch the graph of the inequality 2x + 4y 12. 4. Sketch the graph

More information

c) Place the Coefficients from all Equations into a Simplex Tableau, labeled above with variables indicating their respective columns

c) Place the Coefficients from all Equations into a Simplex Tableau, labeled above with variables indicating their respective columns BUILDING A SIMPLEX TABLEAU AND PROPER PIVOT SELECTION Maximize : 15x + 25y + 18 z s. t. 2x+ 3y+ 4z 60 4x+ 4y+ 2z 100 8x+ 5y 80 x 0, y 0, z 0 a) Build Equations out of each of the constraints above by introducing

More information

Week_4: simplex method II

Week_4: simplex method II Week_4: simplex method II 1 1.introduction LPs in which all the constraints are ( ) with nonnegative right-hand sides offer a convenient all-slack starting basic feasible solution. Models involving (=)

More information

MATH 035 and MATH 043 REVIEW for FINAL EXAM

MATH 035 and MATH 043 REVIEW for FINAL EXAM MATH 03 and MATH 043 REVIEW for FINAL EXAM MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) Solve and graph: -20 8x - 4 and 2x + 7 < 11 1) (-2,

More information

Part III: A Simplex pivot

Part III: A Simplex pivot MA 3280 Lecture 31 - More on The Simplex Method Friday, April 25, 2014. Objectives: Analyze Simplex examples. We were working on the Simplex tableau The matrix form of this system of equations is called

More information

Mth Quadratic functions and quadratic equations

Mth Quadratic functions and quadratic equations Mth 0 - Quadratic functions and quadratic equations Name Find the product. 1) 8a3(2a3 + 2 + 12a) 2) ( + 4)( + 6) 3) (3p - 1)(9p2 + 3p + 1) 4) (32 + 4-4)(2-3 + 3) ) (4a - 7)2 Factor completel. 6) 92-4 7)

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 170 Final Exam Review Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Evaluate the function at the given value of the independent variable and

More information

BARUCH COLLEGE MATH 1030 Practice Final Part 1, NO CALCULATORS. (E) All real numbers. (C) y = 1 2 x 5 2

BARUCH COLLEGE MATH 1030 Practice Final Part 1, NO CALCULATORS. (E) All real numbers. (C) y = 1 2 x 5 2 BARUCH COLLEGE MATH 1030 Practice Final Part 1, NO CALCULATORS 1. Find the domain of f(x) = x + x x 4x. 1. (A) (, 0) (0, 4) (4, ) (B) (, 0) (4, ) (C) (, 4) (4, ) (D) (, ) (, 0) (0, ) (E) All real numbers.

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Math 170 Final Exam Review Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Evaluate the function at the given value of the independent variable and

More information

Section 5.4 Quadratic Functions

Section 5.4 Quadratic Functions Math 150 c Lynch 1 of 6 Section 5.4 Quadratic Functions Definition. A quadratic function is one that can be written in the form, f(x) = ax 2 + bx + c, where a, b, and c are real numbers and a 0. This if

More information

Worked Examples for Chapter 5

Worked Examples for Chapter 5 Worked Examples for Chapter 5 Example for Section 5.2 Construct the primal-dual table and the dual problem for the following linear programming model fitting our standard form. Maximize Z = 5 x 1 + 4 x

More information

The Graphical Method & Algebraic Technique for Solving LP s. Métodos Cuantitativos M. En C. Eduardo Bustos Farías 1

The Graphical Method & Algebraic Technique for Solving LP s. Métodos Cuantitativos M. En C. Eduardo Bustos Farías 1 The Graphical Method & Algebraic Technique for Solving LP s Métodos Cuantitativos M. En C. Eduardo Bustos Farías The Graphical Method for Solving LP s If LP models have only two variables, they can be

More information

Practice Questions for Math 131 Exam # 1

Practice Questions for Math 131 Exam # 1 Practice Questions for Math 131 Exam # 1 1) A company produces a product for which the variable cost per unit is $3.50 and fixed cost 1) is $20,000 per year. Next year, the company wants the total cost

More information

MA 162: Finite Mathematics - Section 3.3/4.1

MA 162: Finite Mathematics - Section 3.3/4.1 MA 162: Finite Mathematics - Section 3.3/4.1 Fall 2014 Ray Kremer University of Kentucky October 6, 2014 Announcements: Homework 3.3 due Tuesday at 6pm. Homework 4.1 due Friday at 6pm. Exam scores were

More information

Math 131. Rolle s and Mean Value Theorems Larson Section 3.2

Math 131. Rolle s and Mean Value Theorems Larson Section 3.2 Math 3. Rolle s and Mean Value Theorems Larson Section 3. Many mathematicians refer to the Mean Value theorem as one of the if not the most important theorems in mathematics. Rolle s Theorem. Suppose f

More information

HCC-SE MATH DEPT. 1 Revised Fall 2008

HCC-SE MATH DEPT. 1 Revised Fall 2008 FINAL EXAM REVIEW ITEMS Math : College Algebra Find the -intercepts and an -intercepts. ) f() = + 7-0 ) = Name ) Select the equation that describes the graph. Solve the equation and epress the solution

More information

Quadratic function - Test Yourself

Quadratic function - Test Yourself Quadratic function - Test Yourself All Multiple choice Instructions: 1. Read the questions carefully. 2. Solve each problem and decide which of the offered answer choices is correct. 3. ENJOY 1. Which

More information

Yinyu Ye, MS&E, Stanford MS&E310 Lecture Note #06. The Simplex Method

Yinyu Ye, MS&E, Stanford MS&E310 Lecture Note #06. The Simplex Method The Simplex Method Yinyu Ye Department of Management Science and Engineering Stanford University Stanford, CA 94305, U.S.A. http://www.stanford.edu/ yyye (LY, Chapters 2.3-2.5, 3.1-3.4) 1 Geometry of Linear

More information

6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations

6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations 6-1 Study Guide and Intervention Multivariable Linear Systems and Row Operations Gaussian Elimination You can solve a system of linear equations using matrices. Solving a system by transforming it into

More information

Math 354 Summer 2004 Solutions to review problems for Midterm #1

Math 354 Summer 2004 Solutions to review problems for Midterm #1 Solutions to review problems for Midterm #1 First: Midterm #1 covers Chapter 1 and 2. In particular, this means that it does not explicitly cover linear algebra. Also, I promise there will not be any proofs.

More information

SAMPLE QUESTIONS. b = (30, 20, 40, 10, 50) T, c = (650, 1000, 1350, 1600, 1900) T.

SAMPLE QUESTIONS. b = (30, 20, 40, 10, 50) T, c = (650, 1000, 1350, 1600, 1900) T. SAMPLE QUESTIONS. (a) We first set up some constant vectors for our constraints. Let b = (30, 0, 40, 0, 0) T, c = (60, 000, 30, 600, 900) T. Then we set up variables x ij, where i, j and i + j 6. By using

More information

Math Models of OR: Sensitivity Analysis

Math Models of OR: Sensitivity Analysis Math Models of OR: Sensitivity Analysis John E. Mitchell Department of Mathematical Sciences RPI, Troy, NY 8 USA October 8 Mitchell Sensitivity Analysis / 9 Optimal tableau and pivot matrix Outline Optimal

More information

Math 1101 Chapter 3 Review. 1) f(x) = 2x2 + 2x - 4 A) Concave up B) Concave down. 2) f(x) = -2x2-2x + 2 A) Minimum B) Maximum. 3) f(x) = 0.

Math 1101 Chapter 3 Review. 1) f(x) = 2x2 + 2x - 4 A) Concave up B) Concave down. 2) f(x) = -2x2-2x + 2 A) Minimum B) Maximum. 3) f(x) = 0. Math 11 Chapter 3 Review Determine if the graph of the function is concave up or concave down. 1) f() = + - Concave up B) Concave down Determine if the verte of the graph is a maimum point or a minimum

More information

Non-Standard Constraints. Setting up Phase 1 Phase 2

Non-Standard Constraints. Setting up Phase 1 Phase 2 Non-Standard Constraints Setting up Phase 1 Phase 2 Maximizing with Mixed Constraints Some maximization problems contain mixed constraints, like this: maximize 3x 1 + 2x 2 subject to 2x 1 + x 2 50 (standard)

More information

x 1 2x 2 +x 3 = 0 2x 2 8x 3 = 8 4x 1 +5x 2 +9x 3 = 9

x 1 2x 2 +x 3 = 0 2x 2 8x 3 = 8 4x 1 +5x 2 +9x 3 = 9 Sec 2.1 Row Operations and Gaussian Elimination Consider a system of linear equations x 1 2x 2 +x 3 = 0 2x 2 8x 3 = 8 4x 1 +5x 2 +9x 3 = 9 The coefficient matrix of the system is The augmented matrix of

More information

Function Practice. 1. (a) attempt to form composite (M1) (c) METHOD 1 valid approach. e.g. g 1 (5), 2, f (5) f (2) = 3 A1 N2 2

Function Practice. 1. (a) attempt to form composite (M1) (c) METHOD 1 valid approach. e.g. g 1 (5), 2, f (5) f (2) = 3 A1 N2 2 1. (a) attempt to form composite e.g. ( ) 3 g 7 x, 7 x + (g f)(x) = 10 x N (b) g 1 (x) = x 3 N1 1 (c) METHOD 1 valid approach e.g. g 1 (5),, f (5) f () = 3 N METHOD attempt to form composite of f and g

More information

Math 261 Calculus I. Test 1 Study Guide. Name. Decide whether the limit exists. If it exists, find its value. 1) lim x 1. f(x) 2) lim x -1/2 f(x)

Math 261 Calculus I. Test 1 Study Guide. Name. Decide whether the limit exists. If it exists, find its value. 1) lim x 1. f(x) 2) lim x -1/2 f(x) Math 261 Calculus I Test 1 Study Guide Name Decide whether the it exists. If it exists, find its value. 1) x 1 f(x) 2) x -1/2 f(x) Complete the table and use the result to find the indicated it. 3) If

More information

MATH 4211/6211 Optimization Linear Programming

MATH 4211/6211 Optimization Linear Programming MATH 4211/6211 Optimization Linear Programming Xiaojing Ye Department of Mathematics & Statistics Georgia State University Xiaojing Ye, Math & Stat, Georgia State University 0 The standard form of a Linear

More information

2. Determine the domain of the function. Verify your result with a graph. f(x) = 25 x 2

2. Determine the domain of the function. Verify your result with a graph. f(x) = 25 x 2 29 April PreCalculus Final Review 1. Find the slope and y-intercept (if possible) of the equation of the line. Sketch the line: y = 3x + 13 2. Determine the domain of the function. Verify your result with

More information

Homework 1. 3x 12, 61.P (x) = 3t 21 Section 1.2

Homework 1. 3x 12, 61.P (x) = 3t 21 Section 1.2 Section 1.1 Homework 1 (34, 36) Determine whether the equation defines y as a function of x. 34. x + h 2 = 1, 36. y = 3x 1 x + 2. (40, 44) Find the following for each function: (a) f(0) (b) f(1) (c) f(

More information

1. The graph of a quadratic function is shown. Each square is one unit.

1. The graph of a quadratic function is shown. Each square is one unit. 1. The graph of a quadratic function is shown. Each square is one unit. a. What is the vertex of the function? b. If the lead coefficient (the value of a) is 1, write the formula for the function in vertex

More information

Exam 3 Review Math 118 Sections 1 and 2

Exam 3 Review Math 118 Sections 1 and 2 Exam 3 Review Math 118 Sections 1 and 2 This exam will cover sections 5.3-5.6, 6.1-6.3 and 7.1-7.3 of the textbook. No books, notes, calculators or other aids are allowed on this exam. There is no time

More information

4.4 The Simplex Method and the Standard Minimization Problem

4.4 The Simplex Method and the Standard Minimization Problem . The Simplex Method and the Standard Minimization Problem Question : What is a standard minimization problem? Question : How is the standard minimization problem related to the dual standard maximization

More information

4x 2-5x+3. 7x-1 HOMEWORK 1-1

4x 2-5x+3. 7x-1 HOMEWORK 1-1 HOMEWORK 1-1 As it is always the case that correct answers without sufficient mathematical justification may not receive full credit, make sure that you show all your work. Please circle, draw a box around,

More information

Lesson 27 Linear Programming; The Simplex Method

Lesson 27 Linear Programming; The Simplex Method Lesson Linear Programming; The Simplex Method Math 0 April 9, 006 Setup A standard linear programming problem is to maximize the quantity c x + c x +... c n x n = c T x subject to constraints a x + a x

More information

Exam. Name. Use the indicated region of feasible solutions to find the maximum and minimum values of the given objective function.

Exam. Name. Use the indicated region of feasible solutions to find the maximum and minimum values of the given objective function. Exam Name Use the indicated region of feasible solutions to find the maximum and minimum values of the given objective function. 1) z = 12x - 22y y (0, 6) (1.2, 5) Solve the 3) The Acme Class Ring Company

More information

M= 4 s. 112j 127J. 20f25 Determine whether the given ordered set ofnumbers is a solution ofthe system ofequations.

M= 4 s. 112j 127J. 20f25 Determine whether the given ordered set ofnumbers is a solution ofthe system ofequations. Striving to provide a online education experience TM Note: You will only be allowed to submit this test one time. Your score will be averaged in your overall course grade and you will not be able to submit

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) Find the line passing through the two points. Write the equation

More information

MATH 121: EXTRA PRACTICE FOR TEST 2. Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam.

MATH 121: EXTRA PRACTICE FOR TEST 2. Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam. MATH 121: EXTRA PRACTICE FOR TEST 2 Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam. 1 Linear Functions 1. Consider the functions f(x) = 3x + 5 and g(x)

More information

Understanding the Simplex algorithm. Standard Optimization Problems.

Understanding the Simplex algorithm. Standard Optimization Problems. Understanding the Simplex algorithm. Ma 162 Spring 2011 Ma 162 Spring 2011 February 28, 2011 Standard Optimization Problems. A standard maximization problem can be conveniently described in matrix form

More information

Midterm Review (Honors Algebra 2) 4. Solve the compound inequality. Then graph its solution on a number line. 5 7 or 3x x

Midterm Review (Honors Algebra 2) 4. Solve the compound inequality. Then graph its solution on a number line. 5 7 or 3x x Midterm Review (Honors Algebra ) Name Chapter & : Equations Inequalities, and Linear Functions. The graph of function f(x) is shown at right. Find f(3).. Evaluate f( ) when f ( x) x 5x. 3. Solve the inequality

More information

The Simplex Method. Lecture 5 Standard and Canonical Forms and Setting up the Tableau. Lecture 5 Slide 1. FOMGT 353 Introduction to Management Science

The Simplex Method. Lecture 5 Standard and Canonical Forms and Setting up the Tableau. Lecture 5 Slide 1. FOMGT 353 Introduction to Management Science The Simplex Method Lecture 5 Standard and Canonical Forms and Setting up the Tableau Lecture 5 Slide 1 The Simplex Method Formulate Constrained Maximization or Minimization Problem Convert to Standard

More information

Professor Alan H. Stein October 31, 2007

Professor Alan H. Stein October 31, 2007 Mathematics 05 Professor Alan H. Stein October 3, 2007 SOLUTIONS. For most maximum problems, the contraints are in the form l(x) k, where l(x) is a linear polynomial and k is a positive constant. Explain

More information

Math 3 Variable Manipulation Part 7 Absolute Value & Inequalities

Math 3 Variable Manipulation Part 7 Absolute Value & Inequalities Math 3 Variable Manipulation Part 7 Absolute Value & Inequalities 1 MATH 1 REVIEW SOLVING AN ABSOLUTE VALUE EQUATION Absolute value is a measure of distance; how far a number is from zero. In practice,

More information

The Simplex Algorithm and Goal Programming

The Simplex Algorithm and Goal Programming The Simplex Algorithm and Goal Programming In Chapter 3, we saw how to solve two-variable linear programming problems graphically. Unfortunately, most real-life LPs have many variables, so a method is

More information

0.0.1 Section 1.2: Row Reduction and Echelon Forms Echelon form (or row echelon form): 1. All nonzero rows are above any rows of all zeros.

0.0.1 Section 1.2: Row Reduction and Echelon Forms Echelon form (or row echelon form): 1. All nonzero rows are above any rows of all zeros. 0.0.1 Section 1.2: Row Reduction and Echelon Forms Echelon form (or row echelon form): 1. All nonzero rows are above any rows of all zeros. 2. Each leading entry (i.e. left most nonzero entry) of a row

More information

Finite Mathematics MAT 141: Chapter 4 Notes

Finite Mathematics MAT 141: Chapter 4 Notes Finite Mathematics MAT 141: Chapter 4 Notes The Simplex Method David J. Gisch Slack Variables and the Pivot Simplex Method and Slack Variables We saw in the last chapter that we can use linear programming

More information

Chapter 8 ~ Quadratic Functions and Equations In this chapter you will study... You can use these skills...

Chapter 8 ~ Quadratic Functions and Equations In this chapter you will study... You can use these skills... Chapter 8 ~ Quadratic Functions and Equations In this chapter you will study... identifying and graphing quadratic functions transforming quadratic equations solving quadratic equations using factoring

More information

MATH 121: EXTRA PRACTICE FOR TEST 2. Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam.

MATH 121: EXTRA PRACTICE FOR TEST 2. Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam. MATH 121: EXTRA PRACTICE FOR TEST 2 Disclaimer: Any material covered in class and/or assigned for homework is a fair game for the exam. 1 Linear Functions 1. Consider the functions f(x) = 3x + 5 and g(x)

More information

ACTM State Math Contest Pre-Calculus/Trigonometry 2009

ACTM State Math Contest Pre-Calculus/Trigonometry 2009 ACTM State Math Contest Pre-Calculus/Trigonometry 009 Select the best answer for each of the following questions and mark it on the answer sheet provided. Be sure to read all of the answer choices before

More information

Unit 5: Quadratic Functions

Unit 5: Quadratic Functions Unit 5: Quadratic Functions LESSON #2: THE PARABOLA APPLICATIONS AND WORD PROBLEMS INVERSE OF A QUADRATIC FUNCTION DO NOW: Review from Lesson #1 (a)using the graph shown to the right, determine the equation

More information

The Quadratic Formula. ax 2 bx c 0 where a 0. Deriving the Quadratic Formula. Isolate the constant on the right side of the equation.

The Quadratic Formula. ax 2 bx c 0 where a 0. Deriving the Quadratic Formula. Isolate the constant on the right side of the equation. SECTION 11.2 11.2 The Quadratic Formula 11.2 OBJECTIVES 1. Solve quadratic equations by using the quadratic formula 2. Determine the nature of the solutions of a quadratic equation by using the discriminant

More information

College Algebra and College Algebra with Review Final Review

College Algebra and College Algebra with Review Final Review The final exam comprises 30 questions. Each of the 20 multiple choice questions is worth 3 points and each of the 10 open-ended questions is worth 4 points. Instructions for the Actual Final Exam: Work

More information

Week 3: Simplex Method I

Week 3: Simplex Method I Week 3: Simplex Method I 1 1. Introduction The simplex method computations are particularly tedious and repetitive. It attempts to move from one corner point of the solution space to a better corner point

More information

Note: The zero function f(x) = 0 is a polynomial function. It has no degree and no leading coefficient. Sep 15 2:51 PM

Note: The zero function f(x) = 0 is a polynomial function. It has no degree and no leading coefficient. Sep 15 2:51 PM 2.1 Linear and Quadratic Name: Functions and Modeling Objective: Students will be able to recognize and graph linear and quadratic functions, and use these functions to model situations and solve problems.

More information

Department of Mathematics, University of Wisconsin-Madison Math 114 Worksheet Sections 3.1, 3.3, and 3.5

Department of Mathematics, University of Wisconsin-Madison Math 114 Worksheet Sections 3.1, 3.3, and 3.5 Department of Mathematics, University of Wisconsin-Madison Math 11 Worksheet Sections 3.1, 3.3, and 3.5 1. For f(x) = 5x + (a) Determine the slope and the y-intercept. f(x) = 5x + is of the form y = mx

More information

Chapter Four Notes N P U2C4

Chapter Four Notes N P U2C4 Chapter Four Notes N P U2C4 Name Period Section 4.3: Quadratic Functions and Their Properties Recall from Chapter Three as well as advanced algebra that a quadratic function (or square function, as it

More information

Intermediate Algebra Final Exam Review

Intermediate Algebra Final Exam Review Intermediate Algebra Final Exam Review Note to students: The final exam for MAT10, MAT 11 and MAT1 will consist of 30 multiple-choice questions and a few open-ended questions. The exam itself will cover

More information

AdvAlg6.4GraphingQuadratics.notebook. March 07, Newton s Formula h(t) = 1 gt 2 + v o t + h o 2. time. initial upward velocity

AdvAlg6.4GraphingQuadratics.notebook. March 07, Newton s Formula h(t) = 1 gt 2 + v o t + h o 2. time. initial upward velocity Notes Lesson 6 4 Applications of Quadratic Functions Newton s Formula h(t) = 1 gt 2 + v o t + h o 2 Height of object time Constant (accel. due to gravity) *32 ft/sec 2 *9.8 m/sec 2 **MEMORIZE THESE** initial

More information

Semester 1 Exam Review - Precalculus Test ID:

Semester 1 Exam Review - Precalculus Test ID: 203-4 Semester Exam Review - Precalculus Test ID: Use interval notation to describe the interval of real numbers. ) x is greater than or equal to 0 and less than or equal to 4. ) A) [0, 4) B) (0, 4] C)

More information

3.4 The Fundamental Theorem of Algebra

3.4 The Fundamental Theorem of Algebra 333371_0304.qxp 12/27/06 1:28 PM Page 291 3.4 The Fundamental Theorem of Algebra Section 3.4 The Fundamental Theorem of Algebra 291 The Fundamental Theorem of Algebra You know that an nth-degree polynomial

More information

DEPARTMENT OF STATISTICS AND OPERATIONS RESEARCH OPERATIONS RESEARCH DETERMINISTIC QUALIFYING EXAMINATION. Part I: Short Questions

DEPARTMENT OF STATISTICS AND OPERATIONS RESEARCH OPERATIONS RESEARCH DETERMINISTIC QUALIFYING EXAMINATION. Part I: Short Questions DEPARTMENT OF STATISTICS AND OPERATIONS RESEARCH OPERATIONS RESEARCH DETERMINISTIC QUALIFYING EXAMINATION Part I: Short Questions August 12, 2008 9:00 am - 12 pm General Instructions This examination is

More information

SECTION 1.1 LINEARITY

SECTION 1.1 LINEARITY CHAPTER 1 SECTION 1.1 LINEARITY Definitions Total Change Average Rate of Change Linearly Related Linear Model Concepts/Theorems Working with Total Change & Average Rate of Change Identifying a Linear Model

More information

MAT116 Final Review Session Chapter 3: Polynomial and Rational Functions

MAT116 Final Review Session Chapter 3: Polynomial and Rational Functions MAT116 Final Review Session Chapter 3: Polynomial and Rational Functions Quadratic Function A quadratic function is defined by a quadratic or second-degree polynomial. Standard Form f x = ax 2 + bx + c,

More information

Finite Math Section 4_1 Solutions and Hints

Finite Math Section 4_1 Solutions and Hints Finite Math Section 4_1 Solutions and Hints by Brent M. Dingle for the book: Finite Mathematics, 7 th Edition by S. T. Tan. DO NOT PRINT THIS OUT AND TURN IT IN!!!!!!!! This is designed to assist you in

More information

MAT 107 College Algebra Fall 2013 Name. Final Exam, Version X

MAT 107 College Algebra Fall 2013 Name. Final Exam, Version X MAT 107 College Algebra Fall 013 Name Final Exam, Version X EKU ID Instructor Part 1: No calculators are allowed on this section. Show all work on your paper. Circle your answer. Each question is worth

More information

Dependent ( ) Independent (1 or Ø) These lines coincide so they are a.k.a coincident.

Dependent ( ) Independent (1 or Ø) These lines coincide so they are a.k.a coincident. Notes #3- Date: 7.1 Solving Systems of Two Equations (568) The solution to a system of linear equations is the ordered pair (x, y) where the lines intersect! A solution can be substituted into both equations

More information

Name. 3) f(x) = -x2-2. Sketch the graph of the function and find the domain and range. 1) f(x) = x2-4. 4) f(x) = x ) f(x) = -3(x + 3)2-2

Name. 3) f(x) = -x2-2. Sketch the graph of the function and find the domain and range. 1) f(x) = x2-4. 4) f(x) = x ) f(x) = -3(x + 3)2-2 Exam 3 Final Preparation Ch 7, 9, etal v0 There will be 5 questions on Exam 3 (Final). Twenty questions from chapters 7 & 9. Five questions from chapter 5. No Book/No Notes/No Ipod/ No Phone/Yes Calculator/55

More information

Slack Variable. Max Z= 3x 1 + 4x 2 + 5X 3. Subject to: X 1 + X 2 + X x 1 + 4x 2 + X X 1 + X 2 + 4X 3 10 X 1 0, X 2 0, X 3 0

Slack Variable. Max Z= 3x 1 + 4x 2 + 5X 3. Subject to: X 1 + X 2 + X x 1 + 4x 2 + X X 1 + X 2 + 4X 3 10 X 1 0, X 2 0, X 3 0 Simplex Method Slack Variable Max Z= 3x 1 + 4x 2 + 5X 3 Subject to: X 1 + X 2 + X 3 20 3x 1 + 4x 2 + X 3 15 2X 1 + X 2 + 4X 3 10 X 1 0, X 2 0, X 3 0 Standard Form Max Z= 3x 1 +4x 2 +5X 3 + 0S 1 + 0S 2

More information

Unit 9: Quadratics Intercept Form

Unit 9: Quadratics Intercept Form For Teacher Use Packet Score: Name: Period: Algebra 1 Unit 9: Quadratics Intercept Form Note & Homework Packet Date Topic/Assignment HW Page 9-A Graphing Parabolas in Intercept Form 9-B Solve Quadratic

More information

SECTION 3.2: Graphing Linear Inequalities

SECTION 3.2: Graphing Linear Inequalities 6 SECTION 3.2: Graphing Linear Inequalities GOAL: Graphing One Linear Inequality Example 1: Graphing Linear Inequalities Graph the following: a) x + y = 4 b) x + y 4 c) x + y < 4 Graphing Conventions:

More information

The Graph of a Quadratic Function. Quadratic Functions & Models. The Graph of a Quadratic Function. The Graph of a Quadratic Function

The Graph of a Quadratic Function. Quadratic Functions & Models. The Graph of a Quadratic Function. The Graph of a Quadratic Function 8/1/015 The Graph of a Quadratic Function Quadratic Functions & Models Precalculus.1 The Graph of a Quadratic Function The Graph of a Quadratic Function All parabolas are symmetric with respect to a line

More information

Essential Learning Outcomes for Algebra 2

Essential Learning Outcomes for Algebra 2 ALGEBRA 2 ELOs 1 Essential Learning Outcomes for Algebra 2 The following essential learning outcomes (ELOs) represent the 12 skills that students should be able to demonstrate knowledge of upon completion

More information

3x 2 + 3y 2 +18x + 6y 60 = 0. 1) C(3,1), r = 30

3x 2 + 3y 2 +18x + 6y 60 = 0. 1) C(3,1), r = 30 1. Find the center and radius of the circle with the following equation: x 2 + y 2 +18x + 6y 60 = 0. 1) C(,1), r = 0 2) C(,1), r = 0 ) C(, 1), r = 0 4) C(, 1), r = 0 5) C(9,), r = 110 6) C(9,), r =110

More information

Lecture 11: Post-Optimal Analysis. September 23, 2009

Lecture 11: Post-Optimal Analysis. September 23, 2009 Lecture : Post-Optimal Analysis September 23, 2009 Today Lecture Dual-Simplex Algorithm Post-Optimal Analysis Chapters 4.4 and 4.5. IE 30/GE 330 Lecture Dual Simplex Method The dual simplex method will

More information

Find all points where the function is discontinuous. 1) Find all vertical asymptotes of the given function. x(x - 1) 2) f(x) =

Find all points where the function is discontinuous. 1) Find all vertical asymptotes of the given function. x(x - 1) 2) f(x) = Math 90 Final Review Find all points where the function is discontinuous. ) Find all vertical asymptotes of the given function. x(x - ) 2) f(x) = x3 + 4x Provide an appropriate response. 3) If x 3 f(x)

More information

MAT016: Optimization

MAT016: Optimization MAT016: Optimization M.El Ghami e-mail: melghami@ii.uib.no URL: http://www.ii.uib.no/ melghami/ March 29, 2011 Outline for today The Simplex method in matrix notation Managing a production facility The

More information