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 222
( b ) Develop a table giving each of the CPF solutions and the corresponding defining equations , BF solution , and nonbasic variables . Calculate Z for each of these solutions , and use just this information to identify the optimal ...
( b ) Develop a table giving each of the CPF solutions and the corresponding defining equations , BF solution , and nonbasic variables . Calculate Z for each of these solutions , and use just this information to identify the optimal ...
Page 235
Before this goal has been reached , the corresponding y in row 0 ( coefficients of slack variables ) of the current tableau must be infeasible for the dual problem . However , after the goal is reached , the corresponding y must be an ...
Before this goal has been reached , the corresponding y in row 0 ( coefficients of slack variables ) of the current tableau must be infeasible for the dual problem . However , after the goal is reached , the corresponding y must be an ...
Page 252
With the Big M method , since M has been added initially to the coefficient of each artificial variable in row 0 , the current value of each corresponding dual variable is the current coefficient of this artificial variable minus M. For ...
With the Big M method , since M has been added initially to the coefficient of each artificial variable in row 0 , the current value of each corresponding dual variable is the current coefficient of this artificial variable minus M. For ...
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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