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 267
Analyzing Simultaneous Changes in Right - Hand Sides . When multiple b ; values are changed simultaneously , the formula b * = S * b can again be used to see how the righthand sides change in the final tableau .
Analyzing Simultaneous Changes in Right - Hand Sides . When multiple b ; values are changed simultaneously , the formula b * = S * b can again be used to see how the righthand sides change in the final tableau .
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients . Regardless of whether x ; is a basic or nonbasic variable , the allowable range to stay optimal for c ; is valid only if this objective function coefficient is the only ...
Analyzing Simultaneous Changes in Objective Function Coefficients . Regardless of whether x ; is a basic or nonbasic variable , the allowable range to stay optimal for c ; is valid only if this objective function coefficient is the only ...
Page 316
The set of basic variables in the optimal solution still changes ( as increases ) only where the slope of Z * ( 0 ) changes . However , in contrast to the preceding case , the values of these variables now change as a ( linear ) ...
The set of basic variables in the optimal solution still changes ( as increases ) only where the slope of Z * ( 0 ) changes . However , in contrast to the preceding case , the values of these variables now change as a ( linear ) ...
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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