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 176
... step by step in algebraic form to solve this problem . DI ( b ) Work through the simplex method step by step in tabular form to solve the problem . c ( c ) Use a computer package based on the simplex method to solve the problem . D.I ...
... step by step in algebraic form to solve this problem . DI ( b ) Work through the simplex method step by step in tabular form to solve the problem . c ( c ) Use a computer package based on the simplex method to solve the problem . D.I ...
Page 178
... step by step to solve the problem . 4.6-2 . Consider the following problem . Maximize subject to and Z = 4x1 + 2x2 + 3x3 + 5x4 , 2x1 + 3x2 + 4x3 + 2x4 = 300 8x1 + x2 + x3 + 5x4 = 300 x ; ≥ 0 , - for j = 1 , 2 , 3 , 4 . ( a ) Using ...
... step by step to solve the problem . 4.6-2 . Consider the following problem . Maximize subject to and Z = 4x1 + 2x2 + 3x3 + 5x4 , 2x1 + 3x2 + 4x3 + 2x4 = 300 8x1 + x2 + x3 + 5x4 = 300 x ; ≥ 0 , - for j = 1 , 2 , 3 , 4 . ( a ) Using ...
Page 179
... step by step . c ( b ) Use a software package based on the simplex method to for- mulate and solve the phase 1 problem . I ( c ) Work through phase 2 step by step to solve the original problem . c ( d ) Use a computer code based on ...
... step by step . c ( b ) Use a software package based on the simplex method to for- mulate and solve the phase 1 problem . I ( c ) Work through phase 2 step by step to solve the original problem . c ( d ) Use a computer code based on ...
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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