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 4
1985 2 , 12 $ 2 million United Airlines 1986 $ 6 million 2-9 , 12 , 17 , 18 , 20 Develop national water management policy , including mix of new facilities , operating procedures , and pricing . Optimize production operations in ...
1985 2 , 12 $ 2 million United Airlines 1986 $ 6 million 2-9 , 12 , 17 , 18 , 20 Develop national water management policy , including mix of new facilities , operating procedures , and pricing . Optimize production operations in ...
Page 522
A B с D E F G H 32 weeks 28 weeks 36 weeks 16 weeks 32 weeks 54 weeks 17 weeks 20 weeks 34 weeks 18 weeks 28 weeks 25 weeks 31 weeks 13 weeks 27 weeks 47 weeks 15 weeks 17 weeks 30 weeks 16 weeks $ 160 million $ 125 million $ 170 ...
A B с D E F G H 32 weeks 28 weeks 36 weeks 16 weeks 32 weeks 54 weeks 17 weeks 20 weeks 34 weeks 18 weeks 28 weeks 25 weeks 31 weeks 13 weeks 27 weeks 47 weeks 15 weeks 17 weeks 30 weeks 16 weeks $ 160 million $ 125 million $ 170 ...
Page 577
The rightmost column gives the capital required ( already included in the net present value ) for the respective investments , where the total capital available is $ 10 million . The objective is to find the feasible combination of ...
The rightmost column gives the capital required ( already included in the net present value ) for the respective investments , where the total capital available is $ 10 million . The objective is to find the feasible combination of ...
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