Introduction to Operations Research, Volume 1CD-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 72
After a few seconds ( for a small problem ) , Solver will then indicate the results . ... The spreadsheet also indicates the value of the objective function , as well as the amount of each resource that is being used .
After a few seconds ( for a small problem ) , Solver will then indicate the results . ... The spreadsheet also indicates the value of the objective function , as well as the amount of each resource that is being used .
Page 199
Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that constraint's boundary equation is satisfied by the current solution . A summary appears in Table 5.3 .
Each constraint has an indicating variable that completely indicates ( by whether its value is zero ) whether that constraint's boundary equation is satisfied by the current solution . A summary appears in Table 5.3 .
Page 450
These numbers are summarized in the following table , where a dash indicates that there is no road directly connecting these two towns without going through any other towns . D : The demonstration example listed above may be helpful .
These numbers are summarized in the following table , where a dash indicates that there is no road directly connecting these two towns without going through any other towns . D : The demonstration example listed above may be helpful .
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero