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 577
For example , should we undertake a particular fixed project ? Should we make a particular fixed investment ? Should we locate a facility in a particular site ? With just two choices , we can represent such decisions by decision ...
For example , should we undertake a particular fixed project ? Should we make a particular fixed investment ? Should we locate a facility in a particular site ? With just two choices , we can represent such decisions by decision ...
Page 580
These instructions for how to use the various software packages become clearer when you see them applied to examples . The Excel , LINGO / LINDO , and MPL / CPLEX files for this chapter in your OR Courseware show how each of these ...
These instructions for how to use the various software packages become clearer when you see them applied to examples . The Excel , LINGO / LINDO , and MPL / CPLEX files for this chapter in your OR Courseware show how each of these ...
Page 1206
... 864 , 879 in birth and death process , 848 example , 826-827 formulation , 822–823 key random variables , 823–825 steady - state probabilities , 825-827 first passage times , 818-820 formulating example , 805–807 gambling example ...
... 864 , 879 in birth and death process , 848 example , 826-827 formulation , 822–823 key random variables , 823–825 steady - state probabilities , 825-827 first passage times , 818-820 formulating example , 805–807 gambling example ...
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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