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 337
... First priority Employment level Capital investment ≤40 2M ≤55 3M Second priority Long - run profit Employment level ≥125 5 ≥40 4 usual way . If the resulting optimal solution is unique , we adopt it immediately without considering ...
... First priority Employment level Capital investment ≤40 2M ≤55 3M Second priority Long - run profit Employment level ≥125 5 ≥40 4 usual way . If the resulting optimal solution is unique , we adopt it immediately without considering ...
Page 644
... first month to support all employees , or buy several small servers during the first month to support all employees , or buy one small server each month to support each new group of employees gaining access to the intranet . " " There ...
... first month to support all employees , or buy several small servers during the first month to support all employees , or buy one small server each month to support each new group of employees gaining access to the intranet . " " There ...
Page 818
... first time . This length of time is called the first passage time in going from state i to state j . When j = i , this first passage time is just the number of transitions until the process returns to the initial state i . In this case ...
... first time . This length of time is called the first passage time in going from state i to state j . When j = i , this first passage time is just the number of transitions until the process returns to the initial state i . In this case ...
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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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero