Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 120
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one
nonbasic variable from zero ( while adjusting the values of ... 4.1 , the choice of
which nonbasic variable to increase is made as follows : Z = 3x1 + 5x2 Increase
xı ?
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one
nonbasic variable from zero ( while adjusting the values of ... 4.1 , the choice of
which nonbasic variable to increase is made as follows : Z = 3x1 + 5x2 Increase
xı ?
Page 307
One concern of the school board is the ongoing road construction in area 6.
These construction projects have been delaying traffic considerably and are
likely to affect the cost of bussing students from area 6 , perhaps increasing them
as much ...
One concern of the school board is the ongoing road construction in area 6.
These construction projects have been delaying traffic considerably and are
likely to affect the cost of bussing students from area 6 , perhaps increasing them
as much ...
Page 828
Suppose now that whether or not the stock goes up tomorrow depends upon
whether it increased today , yesterday , and the day before yesterday . ... If the
stock increased today and yesterday , it will increase tomorrow with probability aj
.
Suppose now that whether or not the stock goes up tomorrow depends upon
whether it increased today , yesterday , and the day before yesterday . ... If the
stock increased today and yesterday , it will increase tomorrow with probability aj
.
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero