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 xxiv
... illustrates how to use Excel and its Solver to formulate and solve linear programming models on a spreadsheet ... illustrate how MPL and CPLEX can be integrated with spreadsheets . As described in the appendix to Chaps . 3 and 4 ...
... illustrates how to use Excel and its Solver to formulate and solve linear programming models on a spreadsheet ... illustrate how MPL and CPLEX can be integrated with spreadsheets . As described in the appendix to Chaps . 3 and 4 ...
Page 87
... illustrate that this function can be used on the right of an assignment statement to retrieve data from a spreadsheet . The last use above illustrates that this function can be placed on the left of an assignment statement to place ...
... illustrate that this function can be used on the right of an assignment statement to retrieve data from a spreadsheet . The last use above illustrates that this function can be placed on the left of an assignment statement to place ...
Page 684
Frederick S. Hillier, Gerald J. Lieberman. To illustrate this notation , consider the following example of a ... illustrates that -q ; is the coefficient of x in the objective func- tion . The fact that 912 = 921 -4 illustrates that both ...
Frederick S. Hillier, Gerald J. Lieberman. To illustrate this notation , consider the following example of a ... illustrates that -q ; is the coefficient of x in the objective func- tion . The fact that 912 = 921 -4 illustrates that both ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero