. ).-... I s 0 4 i o s ) ( i. Name CA K44-14". Block 3-4B: Linear Programming Homework

Similar documents
DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT. [Docket No. FR-6090-N-01]

CD _. _. 'p ~~M CD, CD~~~~V. C ~'* Co ~~~~~~~~~~~~- CD / X. pd.0 & CD. On 0 CDC _ C _- CD C P O ttic 2 _. OCt CD CD (IQ. q"3. 3 > n)1t.

Resource Allocation (p. 254)

Global Forum 2007 Venice

2018 Supply Cheat Sheet MA/PDP/MAPD

B.2 Measures of Central Tendency and Dispersion

Systems of Inequalities and Linear Programming 5.7 Properties of Matrices 5.8 Matrix Inverses

Chapter 3 Linear Programming: A Geometric Approach

TMCH Report March February 2017

Econ 172A - Slides from Lecture 2

UNIT 6 MODELLING DECISION PROBLEMS (LP)

Telecommunications and Internet Access By Schools & School Districts

The Outlook for U.S. Manufacturing

5-8. Systems of Linear Inequalities. Vocabulary. Lesson. Mental Math

The Lincoln National Life Insurance Company Universal Life Portfolio

Lionbridge ondemand for Adobe Experience Manager

PreAP FDN GRAPHING LINEAR INEQUALITIES IN TWO VARIABLES

Panelists. Patrick Michael. Darryl M. Bloodworth. Michael J. Zylstra. James C. Green

GRAPHING LINEAR INEQUALITIES AND FEASIBLE REGIONS

MAC 1147 Exam #6 Review

Linear Programming Problems

ENDF/B-VII.1 versus ENDFB/-VII.0: What s Different?

CHAPTER 4 Linear Programming with Two Variables

Analysis and Implementation of Automatic Reassembly of File Fragmented Images Using Greedy Algorithms. By Lucas Shinkovich and Nate Jones

MAKING MONEY FROM YOUR UN-USED CALLS. Connecting People Already on the Phone with Political Polls and Research Surveys. Scott Richards CEO

Downloaded from qjal.smtc.ac.ir at 5: on Friday August 17th 2018

MA 162: Finite Mathematics - Sections 2.6

Travel Object Codes listed by Expense Type Code

Distracted Driving- A Review of Relevant Research and Latest Findings

Bottom's Gonna Be on Top

Figure 1 Map of US Coast Guard Districts... 2 Figure 2 CGD Zip File Size... 3 Figure 3 NOAA Zip File Size By State...

MEMORANDUM SUBJECT: LICENSING AND REGISTRATION OF FERTILIZERS FOR 2007

EASTER VIGIL: EUCHARISTIC PRAYER 2

Example Graph the inequality 2x-3y 12. Answer - start with the = part. Graph the line 2x - 3y = 12. Linear Programming: A Geometric Approach

RIC A. engineering. Specialist in remapping engine Management

Ocean Express Procedure: Quote and Bind Renewal Cargo

A New Method of Using Polytomous Independent Variables with Many Levels for the Binary Outcome of Big Data Analysis

Linear Programming: A Geometric Approach

3x + y 50. y=10. x=15 3x+y=50. 2x + 3y = 40

2018 NSP Student Leader Contact Form

CSE 460. Today we will look at" Classes of Optimization Problems" Linear Programming" The Simplex Algorithm"

Student Name. Teacher Name. School. System

IT Modernization in State Government Drivers, Challenges and Successes. Bo Reese State Chief Information Officer, Oklahoma NASCIO President

Linear Programming. You can model sales with the following objective function. Sales 100x 50y. x 0 and y 0. x y 40

Chapter 4 Linear Programming

CARIBBEAN EXAMINATIONS COUNCIL SECONDARY EDUCATION CERTIFICATE EXAMINATION MATHEMATICS Paper 02 - General Proficiency. ( 05 JANUARY 2010 (a.m.

LINEAR PROGRAMMING INTRODUCTION 12.1 LINEAR PROGRAMMING. Three Classical Linear Programming Problems (L.P.P.)

3.8. F d 2b provided ad 2 cb Þ 0. F d 2b 5 F Use Inverse Matrices to Solve Linear Systems. For Your Notebook E XAMPLE 1

PFC-6006 Reporting Codes Summary

Training manual: An introduction to North Time Pro 2019 ESS at the terminal

Graphing Linear Functions - Review 1. = 6 2. = = = Sketch the graph of each line

BCN Decision and Risk Analysis. Syed M. Ahmed, Ph.D.

April 25, Lesson 8.2B

Vitnon15nolyinnol 46-nnon-migyt.1611h5in-anfiwOvirrt4gvE-uaktri'uatbrilh r:,;i4tu-jun-nint:inui'vii4uflutjni4a-rd-nin?rrn

Name: Business Name: Business Address: Street Address. Business Address: City ST Zip Code. Home Address: Street Address

CHAPTER 2 LINEAR PROGRAMMING: BASIC CONCEPTS

CostQuest Associates, Inc.

Next. Welcome! This guide will get you started down the path to bulk text messaging excellence. Let s start by going over the basics of the system

We, the undersigned Councilmembers, approve the claims in the amount of $78, this 18th day of September, CITY OF WOODINVILLE CLAIMS

Temperature-Aware Routing in 3D ICs

ALIMENTO NSF COMPACT WORKHORSE. >> Sealed buttons and display for protection against accidental spills

ICP-OES. By: Dr. Sarhan A. Salman

FAST CALCULATION OF INVERSE MATRICES OCCURRING IN SQUARED-RECTANGLE CALCULATION

Finite Mathematics MAT 141: Chapter 3 Notes

Employee Handbook. By checking the box beside the option located under the button and

The Mobile Landscape in France and Europe

Tina Ladabouche. GenCyber Program Manager

1. Which of the following statements are true and which are false? Give reasons for your answers. 10 (a)

PDF - LG TFT L1720 MANUAL

Panel mounted control devices Ex9P1

State IT in Tough Times: Strategies and Trends for Cost Control and Efficiency

Accommodating Broadband Infrastructure on Highway Rights-of-Way. Broadband Technology Opportunities Program (BTOP)

Linear Programming: Model Formulation and Graphical Solution

1. GAGARIN (Beyond Blue Sky)

Chippewa Valley Technical College Criminal Background Check Initial Order Instructions

Fall 2007, Final Exam, Data Structures and Algorithms

MERGING DATAFRAMES WITH PANDAS. Appending & concatenating Series

k i i ; STROUD Report upon a Highway Bridge Civil Engineering B. S PM3VIRSITT OF Via,. XMctsici

END OF COURSE ALGEBRA I CORE 1

Linear Programming: Model Formulation and Graphical Solution

Solutions of Equations An ordered pair will be a solution to an equation if the equation is when the numbers are substituted into the equation.

EnviroPro Configuration

SAMPLE. Kyrie/Lord, Have Mercy 39. j œ œ œ. & b 4 4. j œ. œ œ. œ œ œ. œ œ œ. J œ. œ œ œ. œ œ. œ œ œ. Mass of Saint Ann. Ed Bolduc

Dell Conference Room Monitors

NSA s Centers of Academic Excellence in Cyber Security

SMF Transient Voltage Suppressor Diode Series

CHAPTER 12: LINEAR PROGRAMMING

Component-based software engineering 2. Ian Sommerville 2004 Software Engineering, 7th edition. Chapter 19 Slide 1

Practice Test - Chapter 6

CSE 781 Data Base Management Systems, Summer 09 ORACLE PROJECT

Row 1 This is data This is data

Row 1 This is data This is data. This is data out of p This is bold data p This is bold data out of p This is normal data after br H3 in a table

SUMMER PACKET Accelerated Algebra

Markham J. Geller K The first of the tablets presented here is a bilingual incantation which has one line also found in Utukkū Lemnūtu.

Once travel has been completed or expenses incurred, an expense report should be created in the ERS.

Simulation. Lecture O1 Optimization: Linear Programming. Saeed Bastani April 2016

Chapter 10 Part 1: Reduction

CLAIM No, HOLE No, FOOTAGE DATE NOTE

Math 1201 Unit 5: Relations & Functions. Ch. 5 Notes

Linear Programming Problems: Geometric Solutions

Transcription:

Name CA K44-14". Block 3-4B: Linear Programming Homework 1. An electronics company makes two kinds of TV's: LCD and plasma. Let x be the number of LCD TV's and y be the number of plasma TV's made in a month. The company has enough equipment to make as many as 1 LCD TV's per month or 6 plasma TV's per month. It takes 2 worker-hours to make a LCD TV and 3 worker-hours to make a plasma TV. The company has up to 24 worker-hours of labor available each month. They make $75 profit on LCD TV's and $125 on plasma TV's. a) Write the objective function: b) Identify the variables and write 5 constraints. You may set up a table: po 4:- tc t c Z X E /. v4 r /es rp a z. z 6 s c) Graph the constraints for this system on large graph paper and label the vertices: 1..1) o o c) ) o (.1 ( (1: (..). e) Substitute vertices into objective function: V (. X Z) -..-- -7 K f 1 D S--- 2..- 1) ( i. ).-... I s 4 i o s--. '-p ( oe ) t + I ;-.) r - C.- c; - d - ----/ c T.? ( I / ).1 c. I (..) I (1 r * 3 *': -7 5 `:) 1-) 6 5 ) 7 c..: C7 I c--- pcl What combination of LCD and plasma TV's will maximize profit? What will be the monthly profit? c)`7 c d - 3 (o C)

Name: Cass: Date: Of t y -- - L MI Ohl MOE 1 III n I 1._ A ME NI w:/.. :wis itimmuse NI /i/y EOM 7-111111111 IMINIESEINIO IN ''_- I nonsomm inn I NM MEM IIIIII y_l 1111:111MISE. MN ' - MEE ZEE 1 11 o n ssi :- :g itsiosionami MBE r. MEMO 12111 211 L./ - WU El MO St )11111111111114111Mill FEEMINE MEIN A ' i'''' 4 ' WM 11111111111 ado II MIN - - - - - - e65----7in -- - i if ---- WO ( 3) ) /3 3 (1) aro( Ivo 21117-) At. 34 or; 7- ()woo do 3.3 oo X ) 1 3 /331 ( /33 ) ) Wid daxisl

2. A painter has exactly 32 units of yellow dye and 54 units of blue dye. He plans to mix as many gallons as possible of Light Green and Dark Green. Each gallon of Light Green requires 4 units of yellow and 1 unit of blue. Each gallon of Dark Green requires 1 unit of yellow and 6 units of blue. A gallon of Light Green generates a profit of $1 and a gallon of Dark generates a profit of $15. How many gallons of each color of green should the painter mix to maximize profits? a) Write the objective function: b) Identify the variables and write 4 constraints. You may set up a table: C ( S c)((rje 7- e) P 1 t ( i -i. v.. -3-. / s. e. 5- '. c) Graph the constraints for this system on large graph paper and label the vertices: I 9 e) Substitute vertices into objective function: :5- f) How many gallonso:7v! color of green should the painter mix to maximize profits? What will be the profit? I ; e. y /t o AT a -fi leo (Ler k

Name: d-a(a-p--e-t Class: ate: k NMI mum miloromummu... mom mo... ommomm m me m= mmommilmmimmi i mmum mi mommo imminomporom mom ommomm i mmill III "" """1111111 "milm111111 III 1 1111111 m u lommommummummommom mitmommommimmummommommumm mamommil mummommummimm immummommmilmommummummi immummommolammommasumm mommummommommom ummum mommummommimmmmomm mmo m ImmimmummimmommommEmmil 11111111111111111111111111 mmilsommommummummommimmm mommommommommummum umm mommammosommommommomm mlommillammmummumummim m misrumummmommplummom II rismsmsmommammoummmmmumm ENEMMOMMEMINIMMOMMOMMIMM 1111111111111111111111111111

1( A-) 3. A landscaping contractor uses a combination of two brands of fertilizers each containing different amounts of phosphates and nitrates as shown in the table: Phoip a per Pae e Nitrate Content per Package 4 lbs 6 lbs 24 lbs 2 lbs 5 lbs 15 lbs A certain lawn requires a mixture of at least 24 lbs of phosphates and at least 15 lbs of nitrates. Let a = the number of packages of Brand _A A. and b = the number of pacicagesof13rarid B. Now if a package of Brand A costs $6.99 and a package of Brand B costs $17.99 how many packages of each would minimize the contractor's cost? a) Write an objective function: b) List 4 constraints: 99 + I7 > 6 o_ 4-5- L) >;- 4 c) Graph the feasible region on large graph paper and identify the vertices. Li ) t 11 ) d) Substitute vertices into objective function: '-- " c C A A-- / -71 / e) How many packages of each would minimize the contractor's cost? How much would it cost?

Name: OC 7tz_ Class: Date: 3) IN EV MEIMINII U. '.. I.4; v ar r....'.. '...:i ;7 '. (-. -. mg_ rf 1' / ' : 51117:.: EMI s 511111r7-4111111.4 A ME.i': - 111 ME ME A2111115m1 : s;" % MI 211 I I I './ r EN MI : i'.; E" ' - a 6 ffryintez a.7-5-;'-e4-;e: if:3?-'.- - 11111-..-: Ell NE Er Illi e..:'. Y' ::... I sii. 1 11111/'' g MEM ME 11111 IP _..._;t MIN NE ill :..E 112 1111..&'v:411M1 I 1111111111 cy_imus El on no Ist:-:. mi: -4:... :. iiii.:::akan.:. El Iti';-:4Y"' " MINAININI ::? II...;;... NM 1E411 111 Minellnillzio'''-- ME " -11.--.... EM MANI 111 ME W. - o. l'...:/' 'f.. ;: ;:''' ME ill ''. ::::: lit'" II-..:c.-....- ons Wi;" FS 111 :?;:; res :- III i e7.'1 :?.::;.. y INNI :.. ; 1111 IITAINF. los in.v- :: 5!. UUUUU I ma ME Mt UUUUIUUUUUIUU! NM U NE INEMIT :?'' P'-..' : Si.6.: zi : r..-5 pr:';-.7.:gr : _ - e.- Ileitiellillaiill..._ m ME /.. (75) ).5-) roola. u ( d--) -/b b / 2 4-57/) ow( f 7

4. Suppose your mom is shopping for groceries. From a nutrition table she has learned that one ounce of hamburger has 1 mg of iron 1 mg of Vitamin A and 4 g of protein. One medium potato has 2 mg of iron mg of Vitamin A and 3 g of protein. For dinner your mom wants you to have at least 8 mg of iron 3 mg of Vitamin A and 27 g of protein to meet your daily nutritional requirements. If one medium potato costs $.1 and one ounce of hamburger costs $.15 how many potatoes and what number of ounces of hamburger should your mother buy to minimize the grocery bill? X t/ o el. 1 a) Write an objective function: " - b) Create a table to organize the given information. i. -...:::4. Ha -{ i...2.--17.:l...t Iriin _ ti n J +/-1 / D > / 's titin. A > - reri. ii`-' c) Write a system of 5 constraints using the information in the table..--) -ea:pr. r -.....-...f... --.a 7 ;4 2 ( X "3 d) Graph the system of inequalities on large graph paper. Identify the vertices of the feasible region. e) Substitute vertices into objective function: /6 f) How many potatoes and what number of ounces of hamburger should your mother buy to minimize the grocery bill? 1 5-- 3 Ouf\ef 1 - Jr 3e_r el ti et( e.1 c 41. 11-9.9.`' p How much is the bill?

Name: ate: -- gm ---- -._ y. am s'...af EV rq.: le emo gm.. ; r4 ini ;l4''?ai. Ira III 1111 I '4-;'-... Bomb MI I... Y1 p- re. :M 1. :e t ffil X..% f::!.a. -1.1..."?: I E : Y '/.'i./..; :" /: '.A;.:;-; i-'.'-: r::y'.:- a..: -... EN /ii :1.'11 a'.''''- I/ i I! '.t- gl - ; :. " EME.': / - :';'' :y.--- i!!: -''..' i- t t! ' "' 1 - W: tp-.--i'- ::;t:.rie 1 ' 1.= =-.- P'!i ' i-x ' ' is. j ;?.. ii. % :. =. I. r ;f4.:. /..;.. - V. I :'.;:: 1r". 1. f.-4.;. 7 /.:.'d!- (:- -''". e'.' :' ii:'- )....!....; f...:'-.: ' '.? 7. t ' 'afil 4'tf; I? ie- ':- 41 'Q P.? b' V::? in.:e :. 4 :' i.;1 4 ifiii 74: 1.. fro. :(.s. -.:i.;-1- :::. tif.i-.:_- :.;...- - Yr: eii:. - y.. '. :'. 4; i. v.i i'.6 : ir 1" d.... /i.:::. -.k. -.r../i. A: ' :1' -v ' ir2 ; A:-.-... 1 i1 :'./.--. :irv:' :...'' :.- y ' 4 kft le 'i'.14 :g. x 2 I ''''' - 's' ri!'... T ;'-'.k?: ' s:- ': A14.!:...k :44j ::--i-i /1; :. r. -. 'If'...'..-1. f. 1 /.4i IX 4-1.. i!' -'-f 'f'_4 4:::. f. - '. h t-:f s'..:; 'e;:-. :.. - ]k ''';...f i.-- ::- :-..' 1 '' '' ' & Ft;.:: -4.45.:?:.): gct -....Si fi -.- : I P IC ;-''....3.i '..< e...n. : :-..:- 11111111111111...!:.-1:-: -' -... -'' iwitsii MINE MOINE...p...f : ; : e...i.' I k II I e. 4 MN P.:-- ' i :' ii.'. ; 1. -- I. II IF V..V. 1.41!;..!.. c' R 4 4 if:. ' A1: - - /' n - '.' :I i IF.'.. -. lt 1.. {5 =. k : -f-'') -! t 1ị Vf 4; ; tv ;4'.. ; i * 4.:: Is 14. r'"...- IA41 $. i: z:!;-k 211111111111 al -: ''' P:. i. Pi':' : -...k. -i: :' - - t'! iti 3J- 3t1 7-37