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 408
... direction ( e.g. , a pipeline that can be used to pump fluid in either direction ) , the arc is said to be an undirected arc . To help you distinguish between the two kinds of arcs , we shall frequently refer to undirected arcs by the ...
... direction ( e.g. , a pipeline that can be used to pump fluid in either direction ) , the arc is said to be an undirected arc . To help you distinguish between the two kinds of arcs , we shall frequently refer to undirected arcs by the ...
Page 409
... direction ( if any ) is toward node j , so that flow from node i to node j along this path is feasible . An undirected path from node i to node j is a sequence of connecting arcs whose direction ( if any ) can be either toward or away ...
... direction ( if any ) is toward node j , so that flow from node i to node j along this path is feasible . An undirected path from node i to node j is a sequence of connecting arcs whose direction ( if any ) can be either toward or away ...
Page 675
... direction . However , when you stand still , you can see the ground around your feet well enough to determine the direction in which the hill is sloping upward most sharply . You are able to walk in a straight line . While walking , you ...
... direction . However , when you stand still , you can see the ground around your feet well enough to determine the direction in which the hill is sloping upward most sharply . You are able to walk in a straight line . While walking , you ...
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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 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