MATH 210 EXAM 3 FORM A November 24, 2014

Similar documents
Math 210 Finite Mathematics Chapter 4.2 Linear Programming Problems Minimization - The Dual Problem

9.5 THE SIMPLEX METHOD: MIXED CONSTRAINTS

MA 162: Finite Mathematics - Section 3.3/4.1

Operations Research I: Deterministic Models

min 4x 1 5x 2 + 3x 3 s.t. x 1 + 2x 2 + x 3 = 10 x 1 x 2 6 x 1 + 3x 2 + x 3 14

Slide 1 Math 1520, Lecture 10

1 Answer Key for exam2162sp07 vl

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

Math Models of OR: Some Definitions

(P ) Minimize 4x 1 + 6x 2 + 5x 3 s.t. 2x 1 3x 3 3 3x 2 2x 3 6

Linear Programming: Chapter 5 Duality

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

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

LINEAR PROGRAMMING 2. In many business and policy making situations the following type of problem is encountered:

Worked Examples for Chapter 5

Understanding the Simplex algorithm. Standard Optimization Problems.

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

Dual Basic Solutions. Observation 5.7. Consider LP in standard form with A 2 R m n,rank(a) =m, and dual LP:

You solve inequalities the way you solve equations: Algebra Rule Equation Inequality 2x 5 = 3 2x 5 3. Add 5 to both sides 2x = 8 2x 8.

Non-Standard Constraints. Setting up Phase 1 Phase 2

Lesson 27 Linear Programming; The Simplex Method

Exam 3 Review Math 118 Sections 1 and 2

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

AM 121 Introduction to Optimization: Models and Methods Example Questions for Midterm 1

Part 1. The Review of Linear Programming

Practice Questions for Math 131 Exam # 1

OPERATIONS RESEARCH. Michał Kulej. Business Information Systems

IE 5531 Midterm #2 Solutions

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

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

END3033 Operations Research I Sensitivity Analysis & Duality. to accompany Operations Research: Applications and Algorithms Fatih Cavdur

Finite Math Section 4_1 Solutions and Hints

Systems Analysis in Construction

Lecture 11 Linear programming : The Revised Simplex Method

Brief summary of linear programming and duality: Consider the linear program in standard form. (P ) min z = cx. x 0. (D) max yb. z = c B x B + c N x N

56:171 Operations Research Midterm Exam - October 26, 1989 Instructor: D.L. Bricker

Chapter 4 The Simplex Algorithm Part I

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

Review Solutions, Exam 2, Operations Research

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

Standard Form An LP is in standard form when: All variables are non-negativenegative All constraints are equalities Putting an LP formulation into sta

MAT016: Optimization

The Simplex Method of Linear Programming

April 2003 Mathematics 340 Name Page 2 of 12 pages

21. Solve the LP given in Exercise 19 using the big-m method discussed in Exercise 20.

Prelude to the Simplex Algorithm. The Algebraic Approach The search for extreme point solutions.

Sensitivity Analysis

Answer the following questions: Q1: Choose the correct answer ( 20 Points ):

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

Note 3: LP Duality. If the primal problem (P) in the canonical form is min Z = n (1) then the dual problem (D) in the canonical form is max W = m (2)

The use of shadow price is an example of sensitivity analysis. Duality theory can be applied to do other kind of sensitivity analysis:

4.4 The Simplex Method and the Standard Minimization Problem

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

MATH 4211/6211 Optimization Linear Programming

Math 2114 Common Final Exam May 13, 2015 Form A

A = Chapter 6. Linear Programming: The Simplex Method. + 21x 3 x x 2. C = 16x 1. + x x x 1. + x 3. 16,x 2.

Linear Programming and the Simplex method

December 2014 MATH 340 Name Page 2 of 10 pages

Lecture Simplex Issues: Number of Pivots. ORIE 6300 Mathematical Programming I October 9, 2014

56:270 Final Exam - May

Linear Programming. H. R. Alvarez A., Ph. D. 1

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

Review Questions, Final Exam

Math Models of OR: Sensitivity Analysis

DEPARTMENT OF MATHEMATICS

DEPARTMENT OF MATHEMATICS

(includes both Phases I & II)

MATH2070 Optimisation

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

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

Fall Math 140 Week-in-Review #5 courtesy: Kendra Kilmer (covering Sections 3.4 and 4.1) Section 3.4

UNIVERSITY OF KWA-ZULU NATAL

MATH 118 FINAL EXAM STUDY GUIDE

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

Farkas Lemma, Dual Simplex and Sensitivity Analysis

Section 4.1 Solving Systems of Linear Inequalities

MATH 373 Section A1. Final Exam. Dr. J. Bowman 17 December :00 17:00

The Dual Simplex Algorithm

4.3 Minimizing & Mixed Constraints

3. Duality: What is duality? Why does it matter? Sensitivity through duality.

SELECT TWO PROBLEMS (OF A POSSIBLE FOUR) FROM PART ONE, AND FOUR PROBLEMS (OF A POSSIBLE FIVE) FROM PART TWO. PART ONE: TOTAL GRAND

Points: The first problem is worth 10 points, the others are worth 15. Maximize z = x y subject to 3x y 19 x + 7y 10 x + y = 100.

Chapter 1 Linear Programming. Paragraph 5 Duality

Chap6 Duality Theory and Sensitivity Analysis

March 13, Duality 3

56:171 Operations Research Fall 1998

MA EXAM 3 Green April 11, You must use a #2 pencil on the mark sense sheet (answer sheet).

MA EXAM 3 Form A November 12, You must use a #2 pencil on the mark sense sheet (answer sheet).

Introduction to linear programming using LEGO.

Linear Programming and Marginal Analysis

56:171 Operations Research Final Exam December 12, 1994

Mathematics (JAN12MD0201) General Certificate of Education Advanced Level Examination January Unit Decision TOTAL.

Part III: A Simplex pivot

February 22, Introduction to the Simplex Algorithm

Math 16 - Practice Final

min3x 1 + 4x 2 + 5x 3 2x 1 + 2x 2 + x 3 6 x 1 + 2x 2 + 3x 3 5 x 1, x 2, x 3 0.

1. Algebraic and geometric treatments Consider an LP problem in the standard form. x 0. Solutions to the system of linear equations

Problem #1. The following matrices are augmented matrices of linear systems. How many solutions has each system? Motivate your answer.


(includes both Phases I & II)

Transcription:

MATH 210 EXAM 3 FORM A November 24, 2014 Name (printed) Name (signature) ZID No. INSTRUCTIONS: (1) Use a No. 2 pencil. (2) Work on this test. No scratch paper is allowed. (3) Write your name and ZID number on your answer sheet, filling in the corresponding ovals. (4) Write your recitation section in the boxes marked Section, beginning with a zero: 01 = Tues 1 2 02 = Tues 2 3 03 = Thurs 1 2 04 = Thurs 2 3 (5) This test is Form A and should have a RED answer sheet. Fill in A in the oval corresponding to Form number on your answer sheet. (6) Check that there are 15 questions on your examination form. (7) Check your scantron carefully for errors and then sign your name on the back. (8) NOTA means none of the above answers is correct. (1) True or False? I. The solution set of a linear inequality involving two variables is either a half plane or a line. II. The solution set of a linear inequality in two variables is bounded if it can be enclosed in a rectangle. (a) both I and II are true (b) I is true, II is false (c) I is false, II is true (d) both I and II are false (2) True or False? I. If the maximum of an objective function P occurs at (x,y), then the minimum of C = P occurs at ( x, y). II. A linear objective function might not have a maximum on it. (a) both I and II are true (b) I is true, II is false (c) I is false, II is true (d) both I and II are false

2 (3) A feasible region has five corner points: (a) (8,2) (b) (4,6) (c) (28,8) (d) (16,24) (e) (3,16) Which of these minimize the objective function C = 3x y? For the next three questions, solve the following problem by the method of corners: Maximize C = 6x+2y subject to x+2y 12 x+y 8 2x 3y 6 x 0,y 0 (4) In the solution, the value of x is (a) 4 (b) 6 (c) 48/7 (d) 8 (e) 12 (5) In the solution, the value of y is (a) 0 (b) 2 (c) 4 (d) 18/7 (e) 8 (6) In the solution, the maximum value of C is (a) 18 (b) 32 (c) 40 (d) 46 2 7 (e) 48

3 The next two questions ask you to formulate (but not solve) the following linear programming problem: Boise Lumber has decided to enter the lucrative prefabricated housing business. Initially, it plans to offer three models: standard, deluxe, and luxury. Each house is prefabricated and partially assembled in the factory, and the final assembly is completed on site. The dollar amount of building material required, the amount of labor (in hours) required in the factory for prefabrication and partial assembly, the amount of on-site labor required, and the profit per unit are as follows: Standard Deluxe Luxury Material 6000 8000 10000 Factory Labor 240 230 200 On-site Labor 180 210 300 Profit $3400 $4000 $5000 For the first year s production, a sum of $8.2 million is budgeted for the building material; the number of labor hours available for work in the factory (for prefabrication and partial assembly) is not to exceed 218,000 hours; and the amount of labor for on-site work is to be less than or equal to 237,000 labor-hours. Let x be the number of standard houses, y be the number of deluxe houses, and z be the number of luxury houses. What values of x, y, and z maximize profit? (7) Which of the following is a constaint to the linear programming problem? (a) 6000x+8000y +10000z 8,200,000 (b) 240x+230y +200z 237,000 (c) 180x+210y +300z 218,000 (d) 3400x+4000y +5000z 8,200,000 (8) Which of the following is the function to be maximized? (a) 6000x+8000y +10000z (b) 240x+230y +200z (c) 180x+210y +300z (d) 3400x+4000y +5000z (9) Convert the constraint 3x 5y 27 to an inequality involving : (a) 3x 5y 27 (b) 3x+5y 27 (c) 3x 5y 27 (d) 3x+5y 27

4 (10) Which of the following statements about the dual of the following minimization problem is false? Minimize C = 12x+4y +8z subject to 2x+4y +z 6 3x+2y +2z 2 4x+z 2 x 0,y 0,z 0 (a) The dual problem is a maximization (b) 2u+3v +4w 12 (c) 4u+2v +w 4 (d) u+2v +w 8 (e) The objective function is 6u+2v +2w For the next two problems solve the regular linear programming problem that has the following tableau. x y z u v P const 3 0 5 1 1 0 28 2 1 3 0 1 0 16-2 0 8 0 3 1 48 (11) The maximum is: (a) 12 (b) 28 (c) 48 (d) 64 (12) In the optimal solution, the value of z is: (a) 0 (b) 4 (c) 8 (d) 16

5 (13) Fill in the blank: In setting up the initial tableau, we first transform the system of linear inequalities into a system of linear equations using. (a) basic variables (b) slack variables (c) pivots (d) the dual method (14) Suppose that the primal problem for a linear programming is Minimize C = 2x+5y subject to 3x+2y 8 x+4y 6 x 0, y 0 and the final simplex tableau for the dual problem maximization is u v x y P const 2 1 0 1 3 0 5 10 10 0 1 1 3 11 1 5 10 10 0 0 2 1 1 9 What is the solution to the primal problem? (a) x = 3, y = 11, C = 9 10 10 (b) x = 2, y = 1, C = 9 (c) x = 3, y = 11, C = 9 10 10 (d) x = 2, y = 1, C = 9 (15) Determine the location of the next pivot point in the following Simplex tableau. (a) row 1, column 1 (b) row 1, column 2 (c) row 2, column 1 (d) row 2, column 2 x y u v P const 2 1 1 0 0 40 1 5 0 1 1 15 3 4 0 0 0 10