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 173
... identify its adjacent CPF solutions . ( e ) For each pair of adjacent CPF solutions , identify the constraint boundary they share by giving its equation . 4.1-2 . Consider the following problem . Maximize Z = 3x1 + 2x2 , subject to and ...
... identify its adjacent CPF solutions . ( e ) For each pair of adjacent CPF solutions , identify the constraint boundary they share by giving its equation . 4.1-2 . Consider the following problem . Maximize Z = 3x1 + 2x2 , subject to and ...
Page 222
... identify the optimal solution . ( c ) Develop the corresponding table for the corner - point infeasi- ble solutions , etc. Also identify the sets of defining equations and nonbasic variables that do not yield a solution . 5.1-4 ...
... identify the optimal solution . ( c ) Develop the corresponding table for the corner - point infeasi- ble solutions , etc. Also identify the sets of defining equations and nonbasic variables that do not yield a solution . 5.1-4 ...
Page 288
... identify the nonbasic variables and basic variables for the optimal BF solution for the primal problem . ( d ) Use the results from part ( c ) to obtain the optimal solution for the primal problem directly by using Gaussian elimination ...
... identify the nonbasic variables and basic variables for the optimal BF solution for the primal problem . ( d ) Use the results from part ( c ) to obtain the optimal solution for the primal problem directly by using Gaussian elimination ...
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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