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Optimization in the Computer Age
Solving Integer Programming Problems by Looking at All Possibilities
Optimization Problems of Two through Eight Variables
11 other sections not shown
320.00 SAMPLING DISTRIBUTION becomes x Calcomp plotter Carlo integer programming centimeters cmin CMIN=C 1 CONTINUE CONTINUE WRITE(6,3)IX,IY,IZ,PMAX Customer Department 1 Department END THE PRINTOUT equal equation for Product EXAMPLE feasible solutions Find the number Fortran iv Hassock I P DISTRIBUTION 0.00 IF(C.LT.CMIN IF(P.GT.PMAX integer programming problems INTEGER X,Y,Z,PMAX,P PMAX=0 IX=X IY=Y IZ=Z IX=X IY=Y PMAX=P IY=Y IZ=Z IW=W IY=Y IZ=Z PMAX=P IY=Y PMAX=P CONTINUE larger linear programming maximize the profit maximum profit meet the constraints minicomputer Monte Carlo approach Monte Carlo integer nonlinear number of units objective function optimum solution ordered pairs pmax PMAX=P 1 CONTINUE PMAX=P CONTINUE WRITE(6,3)IX,IY,PMAX price-quantity curve described produces the maximum profit equation program follows quantity sold random number random sample relevant information satisfy the constraints statement STOP END subject to x subject tox summarized as follows technique true optimum units from Warehouse units of Product units per week whole number
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