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 237
If x is not optimal for the primal problem , then y is not feasible for the dual
problem . To illustrate , after one iteration for the Wyndor Glass Co . problem , x ,
= 0 , x2 = 6 , and yı = 0 , y2 = 2 , yz = 0 , with cx = 30 = yb . This x is feasible for the
...
If x is not optimal for the primal problem , then y is not feasible for the dual
problem . To illustrate , after one iteration for the Wyndor Glass Co . problem , x ,
= 0 , x2 = 6 , and yı = 0 , y2 = 2 , yz = 0 , with cx = 30 = yb . This x is feasible for the
...
Page 287
For any linear programming problem in our standard form and its dual problem ,
label each of the following statements as true or false and then justify your
answer . ( a ) The sum of the number of functional constraints and the number of ...
For any linear programming problem in our standard form and its dual problem ,
label each of the following statements as true or false and then justify your
answer . ( a ) The sum of the number of functional constraints and the number of ...
Page 288
sic solution for the dual problem by using Eq . ( 0 ) for the pri - mal problem . Then
draw your conclusions about whether these two basic solutions are optimal for
their respective problems . 1 ( d ) Solve the dual problem graphically . Use this ...
sic solution for the dual problem by using Eq . ( 0 ) for the pri - mal problem . Then
draw your conclusions about whether these two basic solutions are optimal for
their respective problems . 1 ( d ) Solve the dual problem graphically . Use this ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 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 calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate 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 resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero