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 585
... formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the problem are of the yes ...
... formulation example of this type will be presented at the end of Sec . 12.4 . 12.3 INNOVATIVE USES OF BINARY VARIABLES IN MODEL FORMULATION You have just seen a number of examples where the basic decisions of the problem are of the yes ...
Page 591
... formulation possibilities with auxiliary binary variables discussed in this section , we need to strike the same note of caution . This approach some- times requires adding a ... FORMULATION EXAMPLES 591 Some Formulation Examples.
... formulation possibilities with auxiliary binary variables discussed in this section , we need to strike the same note of caution . This approach some- times requires adding a ... FORMULATION EXAMPLES 591 Some Formulation Examples.
Page 1206
... formulation , 82-86 minimum cost flow problem , 433 MPL formulation , 76-78 other legitimate forms , 33 standard form , 32-33 terminology for solutions , 33-36 very large , 72-79 Linear regression , 1028-1036 , 1037 confidence interval ...
... formulation , 82-86 minimum cost flow problem , 433 MPL formulation , 76-78 other legitimate forms , 33 standard form , 32-33 terminology for solutions , 33-36 very large , 72-79 Linear regression , 1028-1036 , 1037 confidence interval ...
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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 corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero