Introduction to Operations ResearchCD-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 118
... algebraic concepts of the simplex method , we begin by outlining side by side in Table 4.2 how the simplex method solves this example from both a geometric and an algebraic viewpoint . The geometric viewpoint ( first presented in Sec ...
... algebraic concepts of the simplex method , we begin by outlining side by side in Table 4.2 how the simplex method solves this example from both a geometric and an algebraic viewpoint . The geometric viewpoint ( first presented in Sec ...
Page 214
... algebraic operations amount to pre- multiplying rows 1 to 3 of the initial tableau by the matrix 1 0 12 601 -1 1 ... algebraic operations performed . This insight is not much to get excited about after just one iteration , since ...
... algebraic operations amount to pre- multiplying rows 1 to 3 of the initial tableau by the matrix 1 0 12 601 -1 1 ... algebraic operations performed . This insight is not much to get excited about after just one iteration , since ...
Page 220
... algebraic procedure , it is based on some fairly sim- ple geometric concepts . These concepts enable one to use the algorithm to examine only a relatively small number of BF solutions before reaching and identifying an optimal solution ...
... algebraic procedure , it is based on some fairly sim- ple geometric concepts . These concepts enable one to use the algorithm to examine only a relatively small number of BF solutions before reaching and identifying an optimal solution ...
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 cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution 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 resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero