smaller, and European like cars, the market share of Cadillac has reduced tremendously in comparison to luxury brands such as BMW, Mercedes Benz, Lexus, and Acura. Cadillac was a brand that was more popular 20 years ago when gas-guzzlers and boxier cars were preferred. Now with the introduction of not only less boxy cars, but also extremely fuel-efficient cars such as the BMW x5, Cadillac has discovered that many people prefer to go with more features that are representative of the 21st century consumers
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3x3 + x4 = 9 x2 + 2x3 + 2x4 = 2 3x1 2x2 + 7x3 + 3x4 = 15 or in matrix form 2 664 1 1 2 0 4 2 2 3 1 9 0 1 2 2 2 3 2 7 3 15 3 775 : Then perform the following steps of the Gauss-Jordan elimination. 1 2 r2; 1 2 r3; 1 3 r4 ! 2 664 1 1 2 0 4 1 1 3=2 1=2 9=2 0 1=2 1 1 1 1 2=3 7=3 1 5 3 775 r1+r2 ! 2 664 1 1 2 0 4 0 0 1=2 1=2 1=2 0 1=2 1 1 1 1 2=3 7=3 1 5 3 775 r1+r4 ! 2 664 1 1 2 0 4 0 0 1=2 1=2 1=2 0 1=2 1 1 1 0 1=3 1=3 1 1 3 775 1 3 r3+r4 ! 2 664 1 1
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Problem 1: Answer1 The next BEST move for A would be D. If A is maximizing player then the next level would be minimum and then the next would be maximum and so on. MAX: MAX(E)=Minmax(L,M)=MINMAX(RESULT (7,8))=7 MAX(F)=Minmax(N,O)=MINMAX(RESULT (5,8))=8 MAX(G)=Minmax(P,Q)=MINMAX(RESULT (2,3))=3 MAX(H)=Minmax(R,S)=MINMAX(RESULT (0,-2))=0 MAX(I)=Minmax(T,U)=MINMAX(RESULT (6,2))=6 MAX(J)=Minmax(V,W)=MINMAX(RESULT (5,8))=8 MAX(K)=Minmax(X,Y)=MINMAX(RESULT (9,2))=9 MIN: MIN(B)=MINMAX(E
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computer solution 3. Model formulation, urban recreation facility allocation 4. Model formulation, crop determination, computer solution 5. Model formulation, product mix, computer solution 6. Model formulation, OSHA safety compliance, computer solution 7. Computer solution; graphical solution 8. Computer solution; graphical solution 9. Computer solution 10. Model formulation, computer solution 11. Model formulation, product mix, computer solution 12. Model formulation, product mix, computer solution
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students who hate to get up in the morning, so Mama’s pays $9 per hour for the 5:00, 6:00, and 7:00 a.m. shifts, and $7.50 per hour for the others. The manager seeks a minimum cost staffing plan that will have at least a minimum number of busers on duty each hour: 5 am 2 6 am 3 7 am 5 8 am 5 9 am 3 10am 2 11am 4 Noon 6 1 pm 3 OBJECTIVE FUNCTION VALUE 1) 360.0000 VARIABLE X1 X2 X3 X4 X5 X6 ROW 2) 3) 4) 5) 6) 7) 8) 9) 10) VALUE 3.000000 0.000000 2.000000 0.000000 3.000000 3.000000 SLACK OR SURPLUS 1
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impact in the person I have to grown to be today. This is the incident that changed my life and gave me the greatest wakeup call I have ever known. BMW manufactured a sport crossover called the X5. The X5 has a powerful engine and has remarkable handling. My father had always driven SUVs’ and wanted to try something new so he acquired a 2008 BMW X5. On this spring night I decided to try out the speed of the car. There is a street called West Parkway, which is approximately three quarters of a mile
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DECISION TREE model build STEP 1: build training data set and validation data set. Output of SAS | Meaning of this step | libname homework 'C:\Users\WAN1_XIAO\Downloads';run;data homework.Rabc ; set homework.Abc;IF x10>5.1 then RX10=1;else RX10=0;DROP id x1 x2 x3 x4 x5 x6 x7 x9 x10;run; | RECODE variable for analysis | | Prepare to split data | | Use 70% data to build decision tree model.Use 30% data to build validation data set. | | 1. Based on the question, we can find all
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Name: Lui Hei 15037621D |1(i) |Definition of decision variables: | | | |X1= No. of fresh hams produced | | | |X2= No. of smoked hams produced on regular time | | |X3= No. of smoked hams produced
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0013409石婉甄 1.3-20 a.select 3 vertices from A,B,C,D,E,F,G,H in C(8,3) ways,so there are 56 ways b.select 4vertices from A,B,C,D,E,F,G,H in C(8,4 ways,so there are70ays c.total polygons 28-C(8,0)-C(8,1)-C(8,2)=219 1.3-25 b.4!0!2!=12 1.4-12 a.x1+x2+x3+x4+x5+x6=39,xi≧0,1≦i≦6.there are C(6+39-1,39)=C(44,39) b.let yi=xi+3 1≦i≦5 y1+y2+y3+y4+y5≦54,yi≧0,C(6+54-1,54)=C(59,54) 1.4-19 r=4,nested for loop,so1≦m≦k≦j≦i≦20,we are making selections,with repetition of size r=4 from a collection of size
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Scottsville Textile Mill Case MGM 350 Production Schedule and loom assignment Decision Variable X1: Yards of fabric 1 on dobbie loom X2: Yards of fabric 2 on dobbie loom X3: Yards of fabric 3 on dobbie loom X4: Yards of fabric 4 on dobbie loom X5: Yards of fabric 5 on dobbie loom X6: Yards of fabric 3 on regular loom X7: Yards of fabric 4 on regular loom X8: Yards of fabric 5 on regular loom X9: Yards of fabric 1 purchased X10: Yards of fabric 2
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