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 222
... corresponding cor- ner - point solution , and classify it as a CPF solution or corner- point infeasible solution . ( b ) For each corner - point solution , give the corresponding basic solution and its set of nonbasic variables ...
... corresponding cor- ner - point solution , and classify it as a CPF solution or corner- point infeasible solution . ( b ) For each corner - point solution , give the corresponding basic solution and its set of nonbasic variables ...
Page 235
... corresponding y must be an optimal solution ( labeled y * ) for the dual problem , because it is a feasible so ... corresponding values of the dual variables ( y1 , y2 , y3 ) , each row 0 identifies a corresponding solution for the ...
... corresponding y must be an optimal solution ( labeled y * ) for the dual problem , because it is a feasible so ... corresponding values of the dual variables ( y1 , y2 , y3 ) , each row 0 identifies a corresponding solution for the ...
Page 252
... corresponding dual variables in the complementary basic solution for the dual problem . Since artificial variables are used to replace the real problem with a more convenient artificial problem , this dual problem actually is the dual ...
... corresponding dual variables in the complementary basic solution for the dual problem . Since artificial variables are used to replace the real problem with a more convenient artificial problem , this dual problem actually is the dual ...
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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