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 573
... Programming In Chap . 3 you saw several. Probability of Functioning 11.3-13 . Consider the following integer nonlinear programming problem . Parallel Units Component 1 123 0.5 0.6 0.7 ... programming problem . Minimize CHAPTER 11 PROBLEMS ...
... Programming In Chap . 3 you saw several. Probability of Functioning 11.3-13 . Consider the following integer nonlinear programming problem . Parallel Units Component 1 123 0.5 0.6 0.7 ... programming problem . Minimize CHAPTER 11 PROBLEMS ...
Page 574
... programming problem . Minimize subject to x2 + x2 ≥ 2 . Z = x1 + 2x3 ( There are no nonnegativity constraints . ) Use dynamic program- ming to solve this problem . 11.3-19 . Consider the following nonlinear programming problem ...
... programming problem . Minimize subject to x2 + x2 ≥ 2 . Z = x1 + 2x3 ( There are no nonnegativity constraints . ) Use dynamic program- ming to solve this problem . 11.3-19 . Consider the following nonlinear programming problem ...
Page 717
... programming formulation of this problem ( with x1 and x2 as decision variables ) has the same form as the main case of the separable programming model described in Sec . 13.8 , except that the separable functions appear in a constraint ...
... programming formulation of this problem ( with x1 and x2 as decision variables ) has the same form as the main case of the separable programming model described in Sec . 13.8 , except that the separable functions appear in a constraint ...
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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