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 111
TABLE 4.1 Adjacent CPF solutions for each CPF solution of the Wyndor Glass Co. problem CPF Solution Its Adjacent CPF ... 3 ) of this table , the CPF solution in the first column is adjacent to each of the two CPF so- lutions in the ...
TABLE 4.1 Adjacent CPF solutions for each CPF solution of the Wyndor Glass Co. problem CPF Solution Its Adjacent CPF ... 3 ) of this table , the CPF solution in the first column is adjacent to each of the two CPF so- lutions in the ...
Page 113
Solution concept 1 : The simplex method focuses solely on CPF solutions . For any problem with at least one optimal solution , finding one requires only find- ing a best CPF solution . ' Since the number of feasible solutions generally ...
Solution concept 1 : The simplex method focuses solely on CPF solutions . For any problem with at least one optimal solution , finding one requires only find- ing a best CPF solution . ' Since the number of feasible solutions generally ...
Page 174
( a ) For minimization problems , if the objective function evaluated at a CPF solution is no larger than its value at every adjacent CPF solution , then that solution is optimal . ( b ) Only CPF solutions can be optimal , so the number ...
( a ) For minimization problems , if the objective function evaluated at a CPF solution is no larger than its value at every adjacent CPF solution , then that solution is optimal . ( b ) Only CPF solutions can be optimal , so the number ...
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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