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
Results 1-3 of 89
Page 73
... functional constraints and two decision vari- ables ( for the Wyndor and radiation therapy problems ) up to 17 functional constraints and 12 decision variables ( for the Save - It Company problem ) . The latter case may seem like a ...
... functional constraints and two decision vari- ables ( for the Wyndor and radiation therapy problems ) up to 17 functional constraints and 12 decision variables ( for the Save - It Company problem ) . The latter case may seem like a ...
Page 75
... functional constraints - production capacity constraints , plant balance constraints ( equality constraints that provide appropri- ate values to the inventory variables ) , maximum inventory constraints , and maximum sales ...
... functional constraints - production capacity constraints , plant balance constraints ( equality constraints that provide appropri- ate values to the inventory variables ) , maximum inventory constraints , and maximum sales ...
Page 249
... constraint in the primal problem affects the dual prob- lem only by changing the corresponding inequality constraint to an equality constraint . Another shortcut involves functional constraints in form for a maximization prob- lem . The ...
... constraint in the primal problem affects the dual prob- lem only by changing the corresponding inequality constraint to an equality constraint . Another shortcut involves functional constraints in form for a maximization prob- lem . The ...
Other editions - View all
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