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 130
The model probably has been misformulated , either by omitting relevant constraints or by stating them incorrectly . Alternatively , a computational mistake may have occurred . V Multiple Optimal Solutions We mentioned in Sec .
The model probably has been misformulated , either by omitting relevant constraints or by stating them incorrectly . Alternatively , a computational mistake may have occurred . V Multiple Optimal Solutions We mentioned in Sec .
Page 278
With the current value of c2 = 3 , the optimal solution is ( 4 , Ş ) . When c2 is increased , this solution remains optimal only for c2 5 4. For c2 Z 4 , ( 0 , 3 ) becomes optimal ( with a tie at c2 = 4 ) , because of the constraint , - ...
With the current value of c2 = 3 , the optimal solution is ( 4 , Ş ) . When c2 is increased , this solution remains optimal only for c2 5 4. For c2 Z 4 , ( 0 , 3 ) becomes optimal ( with a tie at c2 = 4 ) , because of the constraint , - ...
Page 1082
Use the resulting optimal solution to identify an optimal policy . , 1 21.4-6 . Use the policy improvement algorithm to find an optimal policy for Prob . 21.2-6 . D.1 21.4-7 . Use the policy improvement algorithm to find an optimal ...
Use the resulting optimal solution to identify an optimal policy . , 1 21.4-6 . Use the policy improvement algorithm to find an optimal policy for Prob . 21.2-6 . D.1 21.4-7 . Use the policy improvement algorithm to find an optimal ...
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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 |