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. |
From inside the book
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Page 9
Much data usually are needed both to gain an accurate understanding of the problem and to provide the needed input for the mathematical model being formu- lated in the next phase of study . Frequently , much of the needed data will not ...
Much data usually are needed both to gain an accurate understanding of the problem and to provide the needed input for the mathematical model being formu- lated in the next phase of study . Frequently , much of the needed data will not ...
Page 530
Revise the cover letters 6 days ( This figure includes the time needed to print and package the application materials and the time needed for the materials to reach the companies . ) 2 days ( This figure includes the time needed to ...
Revise the cover letters 6 days ( This figure includes the time needed to print and package the application materials and the time needed for the materials to reach the companies . ) 2 days ( This figure includes the time needed to ...
Page 1112
At a typical such meeting , several erroneous model assumptions will be discovered and cor- rected , a few new assumptions will be added , and some issues will be resolved about how much detail is needed in the various parts of the ...
At a typical such meeting , several erroneous model assumptions will be discovered and cor- rected , a few new assumptions will be added , and some issues will be resolved about how much detail is needed in the various parts of the ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero