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 176
Maximize Z = 2x1 + 3x2 , subject to x1 + 2x2 < 30 x1 + x2 = 20 D.1 ( a ) Work through the simplex method step by step in algebraic form to solve this problem . DI ( b ) Work through the simplex method step by step in tabular form to ...
Maximize Z = 2x1 + 3x2 , subject to x1 + 2x2 < 30 x1 + x2 = 20 D.1 ( a ) Work through the simplex method step by step in algebraic form to solve this problem . DI ( b ) Work through the simplex method step by step in tabular form to ...
Page 178
1 ( c ) Work through the simplex method step by step to solve the problem . ( a ) Solve this problem graphically . ( b ) Using the Big M method , construct the complete first simplex tableau for the simplex method and identify the ...
1 ( c ) Work through the simplex method step by step to solve the problem . ( a ) Solve this problem graphically . ( b ) Using the Big M method , construct the complete first simplex tableau for the simplex method and identify the ...
Page 179
Minimize Z = 5,000xı + 7,000x2 , subject to I ( a ) Using the two - phase method , work through phase 1 step by step . C ( b ) Use a software package based on the simplex method to formulate and solve the phase 1 problem .
Minimize Z = 5,000xı + 7,000x2 , subject to I ( a ) Using the two - phase method , work through phase 1 step by step . C ( b ) Use a software package based on the simplex method to formulate and solve the phase 1 problem .
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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