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. |
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Page 181
Work through the simplex method step by step to demonstrate that this problem does not possess any feasible solutions . 4.7-1 . Refer to Fig . 4.10 and the resulting allowable range to stay feasible for the respective right - hand sides ...
Work through the simplex method step by step to demonstrate that this problem does not possess any feasible solutions . 4.7-1 . Refer to Fig . 4.10 and the resulting allowable range to stay feasible for the respective right - hand sides ...
Page 226
Let X4 , X5 , and x6 denote the slack variables for the respective constraints . After you apply the simplex method , a portion of the final simplex tableau is as follows : ( a ) Use the fundamental insight presented in Sec .
Let X4 , X5 , and x6 denote the slack variables for the respective constraints . After you apply the simplex method , a portion of the final simplex tableau is as follows : ( a ) Use the fundamental insight presented in Sec .
Page 393
The labor cost per hour in producing oats is $ 6.90 , $ 7.50 , and $ 6.30 in England , France , and Spain , respectively . The problem is to allocate land use in each country so as to meet the world food requirement and minimize the ...
The labor cost per hour in producing oats is $ 6.90 , $ 7.50 , and $ 6.30 in England , France , and Spain , respectively . The problem is to allocate land use in each country so as to meet the world food requirement and minimize the ...
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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 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 |