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 109
... Simplex Method We now are ready to begin studying the simplex method , a general procedure for solving linear programming problems . Developed by George Dantzig in 1947 , it has proved to be a remarkably efficient method that is used ...
... Simplex Method We now are ready to begin studying the simplex method , a general procedure for solving linear programming problems . Developed by George Dantzig in 1947 , it has proved to be a remarkably efficient method that is used ...
Page 178
... method , construct the complete first simplex tableau for the simplex method and identify the corresponding initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving basic variable . I ( c ) ...
... method , construct the complete first simplex tableau for the simplex method and identify the corresponding initial ( artificial ) BF solution . Also identify the initial entering basic variable and the leaving basic variable . I ( c ) ...
Page 310
... simplex method deals with a problem as if the simplex method were being applied simultaneously to its dual problem . If we make their initial basic so- lutions complementary , the two methods move in complete sequence , obtaining comple ...
... simplex method deals with a problem as if the simplex method were being applied simultaneously to its dual problem . If we make their initial basic so- lutions complementary , the two methods move in complete sequence , obtaining comple ...
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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