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
D.I ( a ) Work through the simplex method 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 ...
D.I ( a ) Work through the simplex method 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 ...
Page 178
( b ) Using the Big M method , construct the complete first simplex tableau for the simplex method and identify the corresponding initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving ...
( b ) Using the Big M method , construct the complete first simplex tableau for the simplex method and identify the corresponding initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving ...
Page 310
to achieve dual feasibility as well ( the optimality test for the simplex method ) . By con- trast , the dual simplex method deals with basic solutions in the primal problem that are dual feasible but not primal feasible .
to achieve dual feasibility as well ( the optimality test for the simplex method ) . By con- trast , the dual simplex method deals with basic solutions in the primal problem that are dual feasible but not primal feasible .
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero