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 764
... expected increase in payoff ( excluding the cost of the experiment ) due to performing ex- perimentation , we now will do somewhat more work to calculate this expected increase directly . This quantity is called the expected value of ...
... expected increase in payoff ( excluding the cost of the experiment ) due to performing ex- perimentation , we now will do somewhat more work to calculate this expected increase directly . This quantity is called the expected value of ...
Page 996
... expected daily revenue from selling day - old bread . ( e ) Use the results in parts ( c ) and ( d ) to calculate the expected total daily revenue and then the expected daily profit ( exclud- ing overhead ) . ( f ) Now consider the ...
... expected daily revenue from selling day - old bread . ( e ) Use the results in parts ( c ) and ( d ) to calculate the expected total daily revenue and then the expected daily profit ( exclud- ing overhead ) . ( f ) Now consider the ...
Page 1203
... Expected average cost per unit time , 1055 , 1077 for complex cost functions , 816-818 in Markov chains , 814-816 Expected interarrival time , 839 Expected monetary value criterion , 754n Expected payoff , decision trees , 767-769 Expected ...
... Expected average cost per unit time , 1055 , 1077 for complex cost functions , 816-818 in Markov chains , 814-816 Expected interarrival time , 839 Expected monetary value criterion , 754n Expected payoff , decision trees , 767-769 Expected ...
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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