Introduction to Operations ResearchCD-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 200
A BF solution is a basic solution where all m basic variables are nonnegative ( ≥ 0 ) . A BF solution is said to be degenerate if any of these m variables equals zero . Thus , it is possible for a variable to be zero and still not be a ...
A BF solution is a basic solution where all m basic variables are nonnegative ( ≥ 0 ) . A BF solution is said to be degenerate if any of these m variables equals zero . Thus , it is possible for a variable to be zero and still not be a ...
Page 397
D. ( b ) Use the northwest corner rule to obtain an initial BF solu- tion for this problem . DI ( c ) Starting with the initial BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal ...
D. ( b ) Use the northwest corner rule to obtain an initial BF solu- tion for this problem . DI ( c ) Starting with the initial BF solution from part ( b ) , interac- tively apply the transportation simplex method to obtain an optimal ...
Page 457
( b ) Use the optimality test to verify that this initial BF solution is optimal and that there are multiple optimal solutions . Apply one iteration of the network simplex method to find the other optimal BF solution , and then use ...
( b ) Use the optimality test to verify that this initial BF solution is optimal and that there are multiple optimal solutions . Apply one iteration of the network simplex method to find the other optimal BF solution , and then use ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions 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 | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |