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 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
ever , when the spreadsheet grows to an unwieldy size , a good modeling language and its solver may provide a more efficient approach to ... MPL / CPLEX for efficiently formulating and solving large linear programming models . 4.
ever , when the spreadsheet grows to an unwieldy size , a good modeling language and its solver may provide a more efficient approach to ... MPL / CPLEX for efficiently formulating and solving large linear programming models . 4.
Page 717
Note that the mathematical programming formulation of this problem ( with x , and x2 as decision variables ) has the same ... However , the same approach can be used to reformulate the prob- lem as a linear programming model where it is ...
Note that the mathematical programming formulation of this problem ( with x , and x2 as decision variables ) has the same ... However , the same approach can be used to reformulate the prob- lem as a linear programming model where it is ...
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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
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |