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 306
... obtained under each of the six scenarios [ including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of the other five scenarios occur ...
... obtained under each of the six scenarios [ including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of the other five scenarios occur ...
Page 366
... obtained , which is done artificially by introducing artificial variables as the initial basic variables and set- ting them equal to s ; and dj . The optimality test and step 1 of an iteration ( selecting an entering basic variable ) ...
... obtained , which is done artificially by introducing artificial variables as the initial basic variables and set- ting them equal to s ; and dj . The optimality test and step 1 of an iteration ( selecting an entering basic variable ) ...
Page 397
... obtain an optimal solution . I ( f ) Use Russell's approximation method to obtain an initial BF solution for this problem . DI ( g ) Starting with the initial BF solution obtained from part ( ƒ ) , interactively apply the transportation ...
... obtain an optimal solution . I ( f ) Use Russell's approximation method to obtain an initial BF solution for this problem . DI ( g ) Starting with the initial BF solution obtained from part ( ƒ ) , interactively apply the transportation ...
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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