Introduction to Operations Research, Volume 1CD-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 . x1 + x2 + 2x3 = 12 x1 + x2 X3 = 1 and Xi 20 , X220 , X3 20 . 6.1-9 . Construct and graph a primal problem with ...
( b ) Construct the dual problem . ( c ) Demonstrate graphically that the dual problem has an unbounded objective function . x1 + x2 + 2x3 = 12 x1 + x2 X3 = 1 and Xi 20 , X220 , X3 20 . 6.1-9 . Construct and graph a primal problem with ...
Page 288
6.1-4b . subject to ( a ) Construct its dual problem . xy + 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 ...
6.1-4b . subject to ( a ) Construct its dual problem . xy + 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 ...
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 .
( 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 .
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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 assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero