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 24
... problem of allocating limited resources among competing activities in a best possible ( i.e. , optimal ) way . More precisely , this problem involves se- lecting the level of certain ... Linear Programming Selected References Problems.
... problem of allocating limited resources among competing activities in a best possible ( i.e. , optimal ) way . More precisely , this problem involves se- lecting the level of certain ... Linear Programming Selected References Problems.
Page 391
Frederick S. Hillier, Gerald J. Lieberman. 8.4 CONCLUSIONS The linear programming ... problem types have such simple formulations that they can be solved much ... programming problems studied in this chapter , namely , the ...
Frederick S. Hillier, Gerald J. Lieberman. 8.4 CONCLUSIONS The linear programming ... problem types have such simple formulations that they can be solved much ... programming problems studied in this chapter , namely , the ...
Page 717
... programming formulation of this problem ( with x1 and x2 as decision variables ) has the same form as the main case ... linear programming model where it is feasible to use OT even when the RT capacity at that plant is not fully ...
... programming formulation of this problem ( with x1 and x2 as decision variables ) has the same form as the main case ... linear programming model where it is feasible to use OT even when the RT capacity at that plant is not fully ...
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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