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 227
... presented in Sec . 5.3 to identify the missing numbers in the current simplex tableau . Show your calculations . ( b ) ... presented in Sec . 5.3 to identify the value of ( c1 , C2 , C3 ) that was used . ( b ) Use the fundamental ...
... presented in Sec . 5.3 to identify the missing numbers in the current simplex tableau . Show your calculations . ( b ) ... presented in Sec . 5.3 to identify the value of ( c1 , C2 , C3 ) that was used . ( b ) Use the fundamental ...
Page 639
... presented in Sec . 12.6 to solve the following problem interactively . Maximize Z = 2x1 = x2 + 5x3 - 3x4 + 4x5 , — subject to 12.6-6 . Consider the following statements about any pure IP prob- lem ( in maximization form ) and its LP ...
... presented in Sec . 12.6 to solve the following problem interactively . Maximize Z = 2x1 = x2 + 5x3 - 3x4 + 4x5 , — subject to 12.6-6 . Consider the following statements about any pure IP prob- lem ( in maximization form ) and its LP ...
Page 640
... presented in Sec . 12.6 to solve the problem as formulated in part ( c ) inter- actively . 12.7-2 . Follow the instructions of Prob . 12.7-1 for the following IP model . Minimize subject to x1 + x2 ≥3 Maximize subject to x ; is binary , ...
... presented in Sec . 12.6 to solve the problem as formulated in part ( c ) inter- actively . 12.7-2 . Follow the instructions of Prob . 12.7-1 for the following IP model . Minimize subject to x1 + x2 ≥3 Maximize subject to x ; is binary , ...
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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