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 31
All three packages include the sim- plex method for solving linear programming models . Section 3.6 describes how to use Excel to formulate and solve linear programming models in a spreadsheet format . De- scriptions of the other ...
All three packages include the sim- plex method for solving linear programming models . Section 3.6 describes how to use Excel to formulate and solve linear programming models in a spreadsheet format . De- scriptions of the other ...
Page 163
Excel and its Premium Solver for formulating and solving linear programming mod- els in a spreadsheet format . 3. MPL / CPLEX for efficiently formulating and solving large linear programming models . 4. LINGO and its solver ( shared ...
Excel and its Premium Solver for formulating and solving linear programming mod- els in a spreadsheet format . 3. MPL / CPLEX for efficiently formulating and solving large linear programming models . 4. LINGO and its solver ( shared ...
Page 340
Various other special - purpose algorithms also have been developed to exploit the spe- cial structure of particular types of linear programming problems ( such as those to be dis- cussed in Chaps . 8 and 9 ) .
Various other special - purpose algorithms also have been developed to exploit the spe- cial structure of particular types of linear programming problems ( such as those to be dis- cussed in Chaps . 8 and 9 ) .
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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