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 150
... nonnegativity constraints , any problem containing variables allowed to be negative must be converted to an equivalent problem involving only nonnegative variables before the simplex method is applied . Fortunately , this conversion can ...
... nonnegativity constraints , any problem containing variables allowed to be negative must be converted to an equivalent problem involving only nonnegative variables before the simplex method is applied . Fortunately , this conversion can ...
Page 180
... nonnegativity constraint for x1 ) . ( a ) Reformulate this problem so all variables have nonnegativity constraints . subject to 3x2 + 4x370 D.I ( b ) Work through the simplex method step by step to solve the problem . and c ( c ) Use a ...
... nonnegativity constraint for x1 ) . ( a ) Reformulate this problem so all variables have nonnegativity constraints . subject to 3x2 + 4x370 D.I ( b ) Work through the simplex method step by step to solve the problem . and c ( c ) Use a ...
Page 318
... constraints , whereas the number of nonnegativity constraints is relatively unimportant . Therefore , having a large number of upper bound constraints among the functional constraints greatly increases the computational effort ...
... constraints , whereas the number of nonnegativity constraints is relatively unimportant . Therefore , having a large number of upper bound constraints among the functional constraints greatly increases the computational effort ...
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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