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 97
... respectively , at the beginning of year t for each t where the investment is avail- able and will mature by the end of year 5. Also let R , be the number of available dollars not invested at the beginning of year 1 ( and so available ...
... respectively , at the beginning of year t for each t where the investment is avail- able and will mature by the end of year 5. Also let R , be the number of available dollars not invested at the beginning of year 1 ( and so available ...
Page 393
... respectively . The unit man- ufacturing cost of the third product would be $ 38 , $ 35 , and $ 40 in Plants 1 , 2 , and 3 , respectively , whereas Plants 4 and 5 do not have the capability for producing this product . Sales forecasts ...
... respectively . The unit man- ufacturing cost of the third product would be $ 38 , $ 35 , and $ 40 in Plants 1 , 2 , and 3 , respectively , whereas Plants 4 and 5 do not have the capability for producing this product . Sales forecasts ...
Page 831
... respectively , leaving X ,, = 2 , 1 , 2 , 1 , respectively . ( a ) Construct the ( one - step ) transition matrix . ( b ) Use the steady - state equations to solve manually for the steady- state probabilities . 16.5-10 . An important ...
... respectively , leaving X ,, = 2 , 1 , 2 , 1 , respectively . ( a ) Construct the ( one - step ) transition matrix . ( b ) Use the steady - state equations to solve manually for the steady- state probabilities . 16.5-10 . An important ...
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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