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 9
... needed both to gain an accurate understanding of the problem and to provide the needed input for the mathematical model being formu- lated in the next phase of study . Frequently , much of the needed data will not be available when ...
... needed both to gain an accurate understanding of the problem and to provide the needed input for the mathematical model being formu- lated in the next phase of study . Frequently , much of the needed data will not be available when ...
Page 649
... needed was located . He dropped to his hands and knees and squinted at the inventory numbers lining the bottom row of the shelf . He did not find the num- ber he needed . He worked his way up the shelf until he found the number matching ...
... needed was located . He dropped to his hands and knees and squinted at the inventory numbers lining the bottom row of the shelf . He did not find the num- ber he needed . He worked his way up the shelf until he found the number matching ...
Page 984
... needed between the inventories of any particular product at the dif- ferent echelons . Since the inventory at each echelon ( except the top one ) is replenished from the next higher echelon , the inventory level currently needed at the ...
... needed between the inventories of any particular product at the dif- ferent echelons . Since the inventory at each echelon ( except the top one ) is replenished from the next higher echelon , the inventory level currently needed at the ...
Other editions - View all
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