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 289
... Consider the two versions of the dual problem for the radi- ation therapy example that are given in Tables 6.15 and ... following linear programming models , use the SOB method to construct its dual problem . ( a ) Model in Prob . 4.6-3 ( b ) ...
... Consider the two versions of the dual problem for the radi- ation therapy example that are given in Tables 6.15 and ... following linear programming models , use the SOB method to construct its dual problem . ( a ) Model in Prob . 4.6-3 ( b ) ...
Page 573
... Consider the following integer nonlinear programming employment from one season to the next is changed to $ 100 times problem . 12 Integer Programming In Chap . 3 you saw several. Probability of Functioning 11.3-13 . Consider the following ...
... Consider the following integer nonlinear programming employment from one season to the next is changed to $ 100 times problem . 12 Integer Programming In Chap . 3 you saw several. Probability of Functioning 11.3-13 . Consider the following ...
Page 574
... Consider the following nonlinear programming problem . Maximize Z = x2x2 , subject to x2 + x2 ≤ 2 . ( There are no nonnegativity constraints . ) Use dynamic program- ming to solve this problem . 11.3-20 . Consider the following ...
... Consider the following nonlinear programming problem . Maximize Z = x2x2 , subject to x2 + x2 ≤ 2 . ( There are no nonnegativity constraints . ) Use dynamic program- ming to solve this problem . 11.3-20 . Consider the following ...
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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