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 120
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the basic variables to continue satisfying the system of equations ) corresponds to moving along ...
Determining the Direction of Movement ( Step 1 of an Iteration ) Increasing one nonbasic variable from zero ( while adjusting the values of the basic variables to continue satisfying the system of equations ) corresponds to moving along ...
Page 129
Tie for the Leaving Basic Variable - Degeneracy Now suppose that two or more basic variables tie for being the leaving ... First , all the tied basic variables reach zero simultaneously as the entering basic variable is increased .
Tie for the Leaving Basic Variable - Degeneracy Now suppose that two or more basic variables tie for being the leaving ... First , all the tied basic variables reach zero simultaneously as the entering basic variable is increased .
Page 311
Feasibility test : Check to see whether all the basic variables are nonnegative . ... Iteration : Step 1 Determine the leaving basic variable : Select the negative basic variable that has the largest absolute value .
Feasibility test : Check to see whether all the basic variables are nonnegative . ... Iteration : Step 1 Determine the leaving basic variable : Select the negative basic variable that has the largest absolute value .
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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