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. |
From inside the book
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Page 67
... SPREADSHEET Spreadsheet software , such as Excel , is a popular tool for analyzing and solving small lin- ear programming problems . The main features of a linear programming model , including all its parameters , can be easily entered ...
... SPREADSHEET Spreadsheet software , such as Excel , is a popular tool for analyzing and solving small lin- ear programming problems . The main features of a linear programming model , including all its parameters , can be easily entered ...
Page 69
... spreadsheet format , it is easy to analyze any po- tential solution . When values for the decision variables are entered in the spreadsheet , the " Totals " column immediately calculates the total amount of each resource used , as well ...
... spreadsheet format , it is easy to analyze any po- tential solution . When values for the decision variables are entered in the spreadsheet , the " Totals " column immediately calculates the total amount of each resource used , as well ...
Page 87
... spreadsheet is stored in the file d : \ dirfred7 \ wbest03i.xls . The only part of the LINGO model that needs to be ... spreadsheet to LINGO and back to the spreadsheet . So - called Object Linking and Embedding ( OLE ) is a fea ...
... spreadsheet is stored in the file d : \ dirfred7 \ wbest03i.xls . The only part of the LINGO model that needs to be ... spreadsheet to LINGO and back to the spreadsheet . So - called Object Linking and Embedding ( OLE ) is a fea ...
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