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 82
Page 173
( b ) For each CPF solution , identify the pair of constraint bound- The objective is to maximize the total profit from the two activiary equations that it satisfies . ties . The unit profit for activity 1 is $ 1,000 and the unit profit ...
( b ) For each CPF solution , identify the pair of constraint bound- The objective is to maximize the total profit from the two activiary equations that it satisfies . ties . The unit profit for activity 1 is $ 1,000 and the unit profit ...
Page 222
Identify the CPF solutions by circling them on the graph . ( b ) Develop a table giving each of the CPF solutions and the corresponding defining equations , BF solution , and nonbasic variables . Calculate Z for each of these solutions ...
Identify the CPF solutions by circling them on the graph . ( b ) Develop a table giving each of the CPF solutions and the corresponding defining equations , BF solution , and nonbasic variables . Calculate Z for each of these solutions ...
Page 288
x2 = 0 sic solution for the dual problem by using Eq . ( 0 ) for the pri- ( a ) How would you identify the optimal solution for the dual mal problem . Then draw your conclusions about whether these problem ? two basic solutions are ...
x2 = 0 sic solution for the dual problem by using Eq . ( 0 ) for the pri- ( a ) How would you identify the optimal solution for the dual mal problem . Then draw your conclusions about whether these problem ? two basic solutions are ...
What people are saying - Write a review
We haven't found any reviews in the usual places.
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 allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables 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 graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method 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 |