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
Construct and graph a primal problem with two decision variables and two
functional constraints that has feasible solutions and an unbounded ... Then
construct the dual problem and demonstrate graphically that it has no feasible
solutions .
Construct and graph a primal problem with two decision variables and two
functional constraints that has feasible solutions and an unbounded ... Then
construct the dual problem and demonstrate graphically that it has no feasible
solutions .
Page 288
6.1-4b . subject to ( a ) Construct its dual problem . x2 + 2x2 10 ( b ) Solve this
dual problem graphically . 2x1 + x2 > 2 ( c ) Use the result from part ( b ) to
identify the nonbasic variables and and basic variables for the optimal BF
solution for the ...
6.1-4b . subject to ( a ) Construct its dual problem . x2 + 2x2 10 ( b ) Solve this
dual problem graphically . 2x1 + x2 > 2 ( c ) Use the result from part ( b ) to
identify the nonbasic variables and and basic variables for the optimal BF
solution for the ...
Page 289
( a ) Construct the dual problem . ( a ) Demonstrate graphically that this problem
has an unbounded ( b ) Use graphical analysis of the dual problem to determine
objective function . whether the primal problem has feasible solutions and , if so ...
( a ) Construct the dual problem . ( a ) Demonstrate graphically that this problem
has an unbounded ( b ) Use graphical analysis of the dual problem to determine
objective function . whether the primal problem has feasible solutions and , if so ...
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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