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 178
... obtained in parts ( b ) and ( c ) . Which of these solutions are feasible only for the ar- tificial problem obtained by introducing artificial variables and which are actually feasible for the real problem ? c ( e ) Use a software ...
... obtained in parts ( b ) and ( c ) . Which of these solutions are feasible only for the ar- tificial problem obtained by introducing artificial variables and which are actually feasible for the real problem ? c ( e ) Use a software ...
Page 306
... obtained under each of the six scenarios [ including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of the other five scenarios occur ...
... obtained under each of the six scenarios [ including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of the other five scenarios occur ...
Page 718
... obtained on these two it- erations with any other trial solution . D.I 13.9-4 . Reconsider the linearly constrained convex program- ming model given in Prob . 13.6-16 . Starting from the initial trial solution ( x1 , x2 , x3 ) = ( 0 , 0 ...
... obtained on these two it- erations with any other trial solution . D.I 13.9-4 . Reconsider the linearly constrained convex program- ming model given in Prob . 13.6-16 . Starting from the initial trial solution ( x1 , x2 , x3 ) = ( 0 , 0 ...
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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