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 542
... additional person - years of life . ( For a par- ticular country , this measure equals the increased life expectancy in years times the coun- try's population . ) Table 11.1 gives the estimated additional person - years of life ( in ...
... additional person - years of life . ( For a par- ticular country , this measure equals the increased life expectancy in years times the coun- try's population . ) Table 11.1 gives the estimated additional person - years of life ( in ...
Page 550
... additional scientists allocated to team n . = Let p ( x , ) denote the probability of failure for team i if it is assigned x , additional sci- entists , as given by Table 11.2 . If we let II denote multiplication , the government's ob ...
... additional scientists allocated to team n . = Let p ( x , ) denote the probability of failure for team i if it is assigned x , additional sci- entists , as given by Table 11.2 . If we let II denote multiplication , the government's ob ...
Page 1152
... additional planer . The total incremental cost ( including capi- tal recovery cost ) is estimated to be $ 30 per hour . ( This estimate takes into account the fact that , even with an additional planer , the total run- ning time for all ...
... additional planer . The total incremental cost ( including capi- tal recovery cost ) is estimated to be $ 30 per hour . ( This estimate takes into account the fact that , even with an additional planer , the total run- ning time for all ...
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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 described 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 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero