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 226
... simplex tableau is as follows : ( a ) Use the fundamental insight presented in Sec . 5.3 to identify the missing numbers in the final simplex tableau . Show your calculations . ( b ) Identify the defining equations of the CPF ...
... simplex tableau is as follows : ( a ) Use the fundamental insight presented in Sec . 5.3 to identify the missing numbers in the final simplex tableau . Show your calculations . ( b ) Identify the defining equations of the CPF ...
Page 228
Frederick S. Hillier, Gerald J. Lieberman. plex tableau for the simplex method , and then identify the columns that will contains S * for applying the fundamental insight in the final tableau . Explain why these are the appropriate ...
Frederick S. Hillier, Gerald J. Lieberman. plex tableau for the simplex method , and then identify the columns that will contains S * for applying the fundamental insight in the final tableau . Explain why these are the appropriate ...
Page 260
... final basic solution remains both feasible and optimal . After obtaining the revised final simplex tableau , we next convert the tableau to proper form from Gaussian elimination ( as needed ) . In particular , the basic variable for row ...
... final basic solution remains both feasible and optimal . After obtaining the revised final simplex tableau , we next convert the tableau to proper form from Gaussian elimination ( as needed ) . In particular , the basic variable for row ...
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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