maths university

Question # 00576442
Subject: Mathematics
Due on: 09/07/2017
Posted On: 09/07/2017 03:59 PM
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Problem 1:

(a)The company Optimiza SUN makes two types of products:Sunscreen Lotion and Sun- screen Spray. Each bottle of Sunscreen Lotion is made from 30grams(g) of Gross Chemical and 40g of Grease,whileeachbottleofSunscreenSprayismadefrom50gofGrossChemicaland10g of Grease .Sunscreen Lotionsells for$15 a bottle,while Sunscreen Spray is priced at $20 per bottle. These data are summarized in the following table:

Product

Resources

SellingPriceperbottle ($)

GrossChemical(g) Grease(g)

SunscreenLotion

SunscreenSpray

30 40 15

50 10 20

Optimiza SUN has a daily supply of 1000g of Gross Chemical(already paid for).It canpurchase as much Grease as it want sat$0.01 per gram from a nearby restaurant.

Given the data above,give a linear program formulation that finds the daily production plan that maximizes Optimiza SUN’s profit(i.e. total value of bottles produced minus production costs). De- fine your decision variables clearly, and briefly describe your objective function and each of your constraints .Solutions without adequate explanations will not receive full credit.

(b)Suppose,in addition to the datain(a),Optimiza SUN now wants to make sure that the number of bottles of Sunscreen Lotion and Sunscreen Spray produced per day are within 10 of each other.Also,it can now sell unused Gross Chemical for $0.05 per gram.

Modifyyourlinear programin(a)tofindthemostprofitabledailyproductionplanforOptimizaSUN thattakesthesenewconditionsintoaccount.Briefly explain eachofyourmodifications.Solutions withoutadequateexplanationswillnotreceive fullcredit.

Problem 2:

Ford hasfourautomobileplants. Each iscapableofproducingtheTaurus, Lincoln,orEscort, butitcan onlyproduce oneofthesecars.Thevariable costofproducingacarofeachtypeateachplant isgivenin the followingtable:

VariableCost($) Plant Taurus Lincoln Escort

1

2

3

4

12000

15000

17000

19000

16000

18000

19000

22000

9000

11000

12000

14000

Fordfacesthefollowingrestrictions:-

(i)Eachplant canproduceonlyonetypeo fcar.

(ii)Thetotalproductionofeachtypeofcarmustbeatasingleplant; thatis,forexample, ifany Taurusesaremadeatplant1,thenallTauruses mustbemadethere. Eachyear,Fordmustproduce 500000ofeachtypeofcar.

(b)Fordfacesthefollowingrequirementsinadditionto(i)and(ii)above.

(iii)Ifplant2isused,thenTauruses needtobemanufactured atthisplant. (iv)Ifbothplants3and4areused,thenplant1mustalsobeused.

Also,inadditiontothe variable costincurredbytheproductionofacar,Fordalsoincursaone-time, fixedopeningcostforproducingcarsateachplant.Thesefixedcostsaregiveninthefollowingtable.

Plant

1

2

3

4

FixedCost ($)

7 billion

6 billion

4 billion

2 billion

Hereisanexample forthesakeofillustration. Suppose thatPlant1isusedtoproduce Escorts, Plant2isusedtoproduceTauruses, andPlant3isusedtoproduceLincolns.Thisproduction plan wouldincurafixedcostof(7×109+6×109+4×109) =17 ×109,plusavariable costof (9×103×5×105)+(15×103×5×105)+(19×103×5×105)=21.5×109,resultinginatotal costof$38.5billion.

Howwould your IPfrom(a)changeinordertoincorporatethenewrequirements(iii)and(iv),and inordertominimizethesumoffixedandvariablecosts? Brieflyexplaineachofyourmodifications. Solutionswithout adequateexplanationswillnotreceive fullcredit.


Problem 3:Certificates

(a)ConsiderthefollowingLP.

(P) max (7,7,7,7)x

??2 4 5 3?


?3?


subjectto


? 0 2 2 1?x =

?1 ?1 ?3 4


?4?

1


?4?


x ? 0


? 4?


? ?

Provethatthefeasiblesolution x¯=?0?is optimal.(Youmayfindthevectory=

1


?

?15?


useful in


? ? 1

2

yourargument.)

(b)[6Points] LetAbeanm×nmatrix, b?Rmandc?Rn.Considerthefollowingtwolinearprograms:


(P) max cTx

subjectto Ax=b


(Q) min bTy


x?0.

Suppose (Q)isunbounded.Provethat(P)isinfeasible.


subjectto ATy?0.


Problem 4:Bases&BasicSolutions

(a)Considerthefollowinglinearprogram:

max (3,?2, ?1,0,1)x

s.t.


1 0 1 2 1

2 1 1 1 0 x=

x?0 


3

1


(P)


Foreachofthefollowingvectors, indicateifitisabasicsolution for(P)ornot.Givejustification.If itisabasicsolution forabasisB,statesuchabasis B.Indicateifitisabasicfeasible solution.

(i)(1,?1, ?1, 1,1).

(ii)(0,0,0,1,1).

(iii)(0,?2,3,0,0).

(b)[7Points]Suppose thatinanLPproblem wereplacetheunrestricted(free)variable x1 byu1 ?v1, whereu1 andv1arenonnegativevariables, tocreateanewLPproblem inSEF.Provethatifthepoint (u1,v1,x2, x3, ...,xn)is abasicfeasible solutionof thenewLPproblem,thenwecannot haveboth u1 >0andv1>0.

.


Problem 5:SolvingLinear Programs

Considerthefollowinglinearprogrammingproblem(P)inSEF.Notethat(P)isincanonicalformfor thefeasiblebasisB={3,4}.

max 5, 8, 0, 0 x


subject to


1 1 1 0

?1 1 0 1


300

x = 200


x ? 0

(a)[12Points] Solve(P)usingtheSimplexmethod,starting withB={3,4}.Choosetheenteringvari- able(respectively,leavingvariable) usingthesmallest subscriptrule,thatis,pickthevariablewith the smallest indexifthereisachoice. Stopafter3iterations, evenifyoursolution isincomplete. Youmayusethefollowingformulafortheinverseofa2×2matrix:


a b


?1


1 d ?b


=

c d ad?bc


.

?c a


Showallofyourwork.

(b)[4Points]If(P)hasanoptimalsolution, thenwritedownanoptimalbasicfeasiblesolution, and writedownacertificateofoptimality(briefly explainthevalidity ofyourcertificate).

Otherwise,if(P)isunbounded,then writedownacertificateofunboundedness(briefly explainthe validityofyourcertificate).

Problem 6:Theory

For eachofthefollowingstatements,answerwhetheritistrueor false.Iftrue,giveacomplete explana- tion,andiffalse,giveonecounter-example oracompleteexplanation. Ifyouuseresults fromthecourse, thenyoushouldinclude aproofforfullcredit.

(a)Let(P)bealinearprogram that has anoptimalsolution.Thenthefeasible regionof(P) isbounded.

(b)Let(P)bethefollowingLP(linearprogram):

(c)[Thefollowingintegerprogram(IP)correctlyformulatestheminimumst-cut problem;in thisproblem, wehaveagraphG=(V,E)withnonnegativeedgecostsceforeachedgee?E,and therearetwodesignatedverticessandt;theproblemistofind anst-cutsuchthatthesumofthe costoftheedgesinthecutisminimum.

min Xcexe (IP)

e?E


s.t. X

e??(U)


xe ?1 (U?V, s ?U,t6?U)


xe ?{0,1} (e?E)

(d)Let(P)bethefollowingLP(linear program):

max{cTx subjectto Ax=b}

(Notethatxisfree,i.e.,theentries ofxcouldbenegative,zero,orpositive.) Supposethatyisavector(ofappropriatedimension)suchthatyTA?cT.

Then,everyfeasiblesolution of(P)hasobjectivevalue?yTb.(That is, yTb?cTx?holdsforevery feasiblesolutionx?of(P).)

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