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 510
... probability of com- pleting the project by a specified time . Unfortunately , considerable subsequent research has shown that this approach tends to provide a pretty rough approximation of the mean and variance . Part of the difficulty ...
... probability of com- pleting the project by a specified time . Unfortunately , considerable subsequent research has shown that this approach tends to provide a pretty rough approximation of the mean and variance . Part of the difficulty ...
Page 760
... probability in the first column by a probability in the second column gives the corresponding joint probability in the third column . Each joint probability then be- comes the numerator in the calculation of the corresponding posterior ...
... probability in the first column by a probability in the second column gives the corresponding joint probability in the third column . Each joint probability then be- comes the numerator in the calculation of the corresponding posterior ...
Page 813
... probability of being in state j after 8 weeks is essentially independent of the ini- tial level of inventory . In other words , it appears that there is a limiting probability that the system will be in each state j after a large number ...
... probability of being in state j after 8 weeks is essentially independent of the ini- tial level of inventory . In other words , it appears that there is a limiting probability that the system will be in each state j after a large number ...
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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