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. |
From inside the book
Results 1-3 of 31
Page 421
... problem are the park entrance at node O and the scenic wonder at node T , respectively . ) 2. All the remaining nodes are transshipment nodes . ( These are nodes A , B , C ... flow of oil through a system of 9.5 THE MAXIMUM FLOW PROBLEM 421.
... problem are the park entrance at node O and the scenic wonder at node T , respectively . ) 2. All the remaining nodes are transshipment nodes . ( These are nodes A , B , C ... flow of oil through a system of 9.5 THE MAXIMUM FLOW PROBLEM 421.
Page 428
... Maximum Flow Problems Most maximum flow problems that arise in practice are considerably larger , and occa- sionally vastly larger , than the Seervada Park problem . Some problems have thousands of nodes and arcs . The augmenting path ...
... Maximum Flow Problems Most maximum flow problems that arise in practice are considerably larger , and occa- sionally vastly larger , than the Seervada Park problem . Some problems have thousands of nodes and arcs . The augmenting path ...
Page 437
... flow problem will send the maximum feasible flow through the other arcs , which achieves the objective of the maximum flow problem . Applying this formulation to the Seervada Park maximum flow problem shown in Fig . 9.6 yields the ...
... flow problem will send the maximum feasible flow through the other arcs , which achieves the objective of the maximum flow problem . Applying this formulation to the Seervada Park maximum flow problem shown in Fig . 9.6 yields the ...
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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |