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 626
... LP relaxation of this problem is shown in Fig . 12.14 . The optimal solution for this LP relaxation is ( 1 , 3 ) with Z = 4 , which is not very close to the optimal solution for the BIP problem . A branch- and - bound algorithm would ...
... LP relaxation of this problem is shown in Fig . 12.14 . The optimal solution for this LP relaxation is ( 1 , 3 ) with Z = 4 , which is not very close to the optimal solution for the BIP problem . A branch- and - bound algorithm would ...
Page 639
... LP relaxation . Label each of the statements as True or False , and then justify your answer . ( a ) The feasible region for the LP relaxation is a subset of the fea- sible region for the IP problem . ( b ) If an optimal solution for the LP ...
... LP relaxation . Label each of the statements as True or False , and then justify your answer . ( a ) The feasible region for the LP relaxation is a subset of the fea- sible region for the IP problem . ( b ) If an optimal solution for the LP ...
Page 639
... LP relaxation problem and then round each noninteger value to the nearest integer . The result will be a feasible ... LP relaxation . Label each of the statements as True or False , and then justify your answer . ( a ) The feasible ...
... LP relaxation problem and then round each noninteger value to the nearest integer . The result will be a feasible ... LP relaxation . Label each of the statements as True or False , and then justify your answer . ( a ) The feasible ...
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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 dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming 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 slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero