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 317
Summary of the Parametric Linear Programming Procedure for Systematic Changes in the b ; Parameters . 1. Solve the problem with 0 = 0 by the simplex method . 2. Use the sensitivity analysis procedure ( Case 1 , Sec .
Summary of the Parametric Linear Programming Procedure for Systematic Changes in the b ; Parameters . 1. Solve the problem with 0 = 0 by the simplex method . 2. Use the sensitivity analysis procedure ( Case 1 , Sec .
Page 369
The procedure for constructing an initial BF solution selects the m + n - 1 basic variables one at a time . A each selection , a value that will satisfy one additional constraint ( thereby eliminating that constraint's row or column ...
The procedure for constructing an initial BF solution selects the m + n - 1 basic variables one at a time . A each selection , a value that will satisfy one additional constraint ( thereby eliminating that constraint's row or column ...
Page 678
TABLE 13.2 Application of the gradient search procedure to the example Iteration x ' Vf ( x ' ) ) * x ' + t Of ( x ' ) f ( x ' + t Of ( x ' ) ) x ' + ** Vf ( x ' ) 1 1 ( 0 , 0 ) ( 0 , 2 ) ( 0 , 2t ) 4t - 8+ 0 , 4 2 1 1 1 1 1 2 0 ...
TABLE 13.2 Application of the gradient search procedure to the example Iteration x ' Vf ( x ' ) ) * x ' + t Of ( x ' ) f ( x ' + t Of ( x ' ) ) x ' + ** Vf ( x ' ) 1 1 ( 0 , 0 ) ( 0 , 2 ) ( 0 , 2t ) 4t - 8+ 0 , 4 2 1 1 1 1 1 2 0 ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero