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. |
From inside the book
Results 1-3 of 82
Page 409
... node i to node j is a sequence of con- necting arcs whose 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 ...
... node i to node j is a sequence of con- necting arcs whose 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 ...
Page 419
... node O or node A is node B ( closest to A ) . Con- nect node B to node A. 2 A 7 2 T 5 4 5 D B 3 7 E C 4 The unconnected node closest to node O , A , or B is node C ( closest to B ) . Connect node C to node B. 2 A 7 2 5 T 5 4 B D 1 E C 4 ...
... node O or node A is node B ( closest to A ) . Con- nect node B to node A. 2 A 7 2 T 5 4 5 D B 3 7 E C 4 The unconnected node closest to node O , A , or B is node C ( closest to B ) . Connect node C to node B. 2 A 7 2 5 T 5 4 B D 1 E C 4 ...
Page 431
... node repre- sents the production of one of the possible products at that plant , where this arc leads to the transshipment node that corresponds to this product . Thus , this transshipment node has an arc coming in from each plant ...
... node repre- sents the production of one of the possible products at that plant , where this arc leads to the transshipment node that corresponds to this product . Thus , this transshipment node has an arc coming in from each plant ...
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 described 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 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 simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero