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 152
... ANALYSIS We stressed in Secs . 2.3 , 2.4 , and 2.5 that postoptimality analysis — the analysis done af- ter an optimal solution is obtained for the initial version of the model - constitutes a very major and very important part of most ...
... ANALYSIS We stressed in Secs . 2.3 , 2.4 , and 2.5 that postoptimality analysis — the analysis done af- ter an optimal solution is obtained for the initial version of the model - constitutes a very major and very important part of most ...
Page 779
... analysis problems . One that has become quite popu- lar is called the influence diagram , and researchers continue to develop others as well.2 Many ... analysis Organization Amoco Oil 15.6 THE PRACTICAL APPLICATION OF DECISION ANALYSIS 779.
... analysis problems . One that has become quite popu- lar is called the influence diagram , and researchers continue to develop others as well.2 Many ... analysis Organization Amoco Oil 15.6 THE PRACTICAL APPLICATION OF DECISION ANALYSIS 779.
Page 781
... analysis and the related area of risk analysis . It includes many interesting articles , including descriptions of basic methods , sensitivity analysis , and decision conferencing . Also included are several of the articles on ...
... analysis and the related area of risk analysis . It includes many interesting articles , including descriptions of basic methods , sensitivity analysis , and decision conferencing . Also included are several of the articles on ...
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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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero