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 69
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes all these components . The parame- ters for the functional constraints are in rows 5 , 6 , and 7 , and the coefficients for the ob- jective function are in ...
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes all these components . The parame- ters for the functional constraints are in rows 5 , 6 , and 7 , and the coefficients for the ob- jective function are in ...
Page 283
In the feasible region shown in Fig . 6.3 , the geometric interpretation of changing the objective function from Z = 3x1 + 5x2 to Z ( 0 ) = ( 3 + 0 ) x ; + ( 5 −20 ) x2 is that we are changing the slope of the original objective ...
In the feasible region shown in Fig . 6.3 , the geometric interpretation of changing the objective function from Z = 3x1 + 5x2 to Z ( 0 ) = ( 3 + 0 ) x ; + ( 5 −20 ) x2 is that we are changing the slope of the original objective ...
Page 433
An Example An example of a minimum cost flow problem is shown in Fig . 9.12 . This network actu- ally is the distribution network for the Distribution Unlimited Co. problem presented in Sec . 3.4 ( see Fig . 3.13 ) .
An Example An example of a minimum cost flow problem is shown in Fig . 9.12 . This network actu- ally is the distribution network for the Distribution Unlimited Co. problem presented in Sec . 3.4 ( see Fig . 3.13 ) .
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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