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
... changes in policy decisions ( e.g. , the amounts of resources being made avail- able to the activities under consideration ) that determine the right - hand sides . Rather than considering just one specific set of changes , management ...
... changes in policy decisions ( e.g. , the amounts of resources being made avail- able to the activities under consideration ) that determine the right - hand sides . Rather than considering just one specific set of changes , management ...
Page 273
... changes in right - hand sides , this 100 percent rule combines the allowable changes ( increase or decrease ) for the individual c ; that are given by the last two columns of a table like Table 6.23 , as described below . The 100 ...
... changes in right - hand sides , this 100 percent rule combines the allowable changes ( increase or decrease ) for the individual c ; that are given by the last two columns of a table like Table 6.23 , as described below . The 100 ...
Page 316
... changes ( as 0 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 ) function of @ between the slope changes . The reason is that ...
... changes ( as 0 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 ) function of @ between the slope changes . The reason is that ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following corresponding cost Courseware CPF solution CPLEX decision variables dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize subject Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero