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 191
... constraint boundary for the corresponding constraint . When the constraint has either a ≤ or a sign , this constraint boundary separates the points that satisfy the constraint ( all the points on one side up to and including the constraint ...
... constraint boundary for the corresponding constraint . When the constraint has either a ≤ or a sign , this constraint boundary separates the points that satisfy the constraint ( all the points on one side up to and including the constraint ...
Page 199
... constraint boundary equations , which we called its defining equations . The key ques- tion is : How do we tell whether a particular constraint boundary equation is one of the defining equations when the problem is in augmented form ...
... constraint boundary equations , which we called its defining equations . The key ques- tion is : How do we tell whether a particular constraint boundary equation is one of the defining equations when the problem is in augmented form ...
Page 249
... constraint to an equality constraint . Another shortcut involves functional constraints in form for a maximization prob- lem . The straightforward ( but longer ) approach would begin by converting each such con- straint to form n а ...
... constraint to an equality constraint . Another shortcut involves functional constraints in form for a maximization prob- lem . The straightforward ( but longer ) approach would begin by converting each such con- straint to form n а ...
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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 Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer 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 resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero