Introduction to Operations ResearchCD-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 81
... shows how this problem would be formulated with LINGO . The first line of this formulation is just a comment ... shows the solution report for our example . The Value column gives the optimal values of the decision variables . The first ...
... shows how this problem would be formulated with LINGO . The first line of this formulation is just a comment ... shows the solution report for our example . The Value column gives the optimal values of the decision variables . The first ...
Page 183
... show , and renting the conference hall , each of the three fashion shows cost her an additional $ 2,700,000 . She studies the clothing patterns and material requirements . Her fall line consists of both professional and casual fashions ...
... show , and renting the conference hall , each of the three fashion shows cost her an additional $ 2,700,000 . She studies the clothing patterns and material requirements . Her fall line consists of both professional and casual fashions ...
Page 1116
... show how simulation can be used to analyze this simple inventory system in the same way that it analyzes more complex inventory systems that are beyond the reach of available inventory models . Figure 22.7 shows the @RISK spreadsheet ...
... show how simulation can be used to analyze this simple inventory system in the same way that it analyzes more complex inventory systems that are beyond the reach of available inventory models . Figure 22.7 shows the @RISK spreadsheet ...
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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 cost Courseware CPLEX decision variables described 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 iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution 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 resource right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero