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 225
... given information to identify the optimal solution . ( b ) Use the given information to identify the shadow prices for the three resources . 1 5.2-2 . * Work through the revised simplex method step by step to solve the following problem ...
... given information to identify the optimal solution . ( b ) Use the given information to identify the shadow prices for the three resources . 1 5.2-2 . * Work through the revised simplex method step by step to solve the following problem ...
Page 470
Frederick S. Hillier, Gerald J. Lieberman. given activity . ( Similarly , the given activity is called an immediate successor of each of its immediate predecessors . ) For example , the top entries in this column indicate that 1 ...
Frederick S. Hillier, Gerald J. Lieberman. given activity . ( Similarly , the given activity is called an immediate successor of each of its immediate predecessors . ) For example , the top entries in this column indicate that 1 ...
Page 1187
... given win 0.45 win and win = 1.8 1 = $ 800,000 Posterior Probabilities P ( state finding ) 0.818 win , given win 0.6 Win lose , given win 0.25 0.15 win and lose 0.333 win , given lose Lose 0.4 0.25 win , given lose lose , given lose ...
... given win 0.45 win and win = 1.8 1 = $ 800,000 Posterior Probabilities P ( state finding ) 0.818 win , given win 0.6 Win lose , given win 0.25 0.15 win and lose 0.333 win , given lose Lose 0.4 0.25 win , given lose lose , given lose ...
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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