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 286
( b ) Construct the dual problem . ( c ) Demonstrate graphically that the dual
problem has an unbounded objective function . and x120 , X2 = 0 , x3 = 0 . ( a )
Construct the dual problem . ( b ) Use duality theory to show that the optimal
solution for ...
( b ) Construct the dual problem . ( c ) Demonstrate graphically that the dual
problem has an unbounded objective function . and x120 , X2 = 0 , x3 = 0 . ( a )
Construct the dual problem . ( b ) Use duality theory to show that the optimal
solution for ...
Page 288
( a ) Construct its dual problem . ( b ) Solve this dual problem graphically . ( c )
Use the result from part ( b ) to identify the nonbasic variables and basic variables
for the optimal BF solution for the primal problem . ( d ) Use the results from part (
c ) ...
( a ) Construct its dual problem . ( b ) Solve this dual problem graphically . ( c )
Use the result from part ( b ) to identify the nonbasic variables and basic variables
for the optimal BF solution for the primal problem . ( d ) Use the results from part (
c ) ...
Page 289
( a ) Construct the dual problem . ( b ) Use graphical analysis of the dual problem
to determine whether the primal problem has feasible solutions and , if so ,
whether its objective function is bounded . x ; 20 , X220 . ( a ) Demonstrate
graphically ...
( a ) Construct the dual problem . ( b ) Use graphical analysis of the dual problem
to determine whether the primal problem has feasible solutions and , if so ,
whether its objective function is bounded . x ; 20 , X220 . ( a ) Demonstrate
graphically ...
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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