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 397
... apply the transportation simplex method Source to solve the Northern Airplane Co. production scheduling problem as it is formulated in Table 8.9 . CASE 8.1 SHIPPING WOOD TO MARKET Le Alabama Atlantic is. to 30 units , but there is no ...
... apply the transportation simplex method Source to solve the Northern Airplane Co. production scheduling problem as it is formulated in Table 8.9 . CASE 8.1 SHIPPING WOOD TO MARKET Le Alabama Atlantic is. to 30 units , but there is no ...
Page 718
... apply two iterations of the Frank- Wolfe algorithm . DI 13.9-5 . Consider the quadratic programming example presented in Sec . 13.7 . Starting from the initial trial solution ( x1 , x2 ) = ( 5 , 5 ) , apply seven iterations of the Frank ...
... apply two iterations of the Frank- Wolfe algorithm . DI 13.9-5 . Consider the quadratic programming example presented in Sec . 13.7 . Starting from the initial trial solution ( x1 , x2 ) = ( 5 , 5 ) , apply seven iterations of the Frank ...
Page 1045
... apply the moving - aver- age method based on the most recent three months to fore- cast monthly sales this year . T ( c ) After considering seasonal effects , apply the exponential smoothing method to forecast monthly sales this year ...
... apply the moving - aver- age method based on the most recent three months to fore- cast monthly sales this year . T ( c ) After considering seasonal effects , apply the exponential smoothing method to forecast monthly sales this year ...
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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