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 79
... LINGO is available to you through downloading from the website , www.lindo.com . Like MPL , LINGO enables a modeler to efficiently formulate a huge linear program ... LINGO MODELING LANGUAGE 79 Conclusions 1 The LINGO Modeling Language.
... LINGO is available to you through downloading from the website , www.lindo.com . Like MPL , LINGO enables a modeler to efficiently formulate a huge linear program ... LINGO MODELING LANGUAGE 79 Conclusions 1 The LINGO Modeling Language.
Page 81
... LINGO . The first line of this formulation is just a comment describing the model . Note that the com- ment is preceded by an exclamation point and ended by a semicolon . This is a requirement for all comments in a LINGO formulation ...
... LINGO . The first line of this formulation is just a comment describing the model . Note that the com- ment is preceded by an exclamation point and ended by a semicolon . This is a requirement for all comments in a LINGO formulation ...
Page 89
... LINGO model . The ODBC manager knows the loca- tion of the database just from its name . More about LINGO Only some of the capabilities of LINGO have been illustrated in this appendix . More details can be found in the documentation ...
... LINGO model . The ODBC manager knows the loca- tion of the database just from its name . More about LINGO Only some of the capabilities of LINGO have been illustrated in this appendix . More details can be found in the documentation ...
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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