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 256
just how any changes in the original model would change the numbers in the
final simplex tableau ( assuming that the same sequence of algebraic operations
originally performed by the simplex method were to be duplicated ) . Therefore ...
just how any changes in the original model would change the numbers in the
final simplex tableau ( assuming that the same sequence of algebraic operations
originally performed by the simplex method were to be duplicated ) . Therefore ...
Page 264
Frederick S. Hillier, Gerald J. Lieberman. Analysis of Variation 2 . When the
fundamental insight ( Table 6 . 17 ) is applied , the effect of this change in b2 on
the original final simplex tableau ( middle of Table 6 . 19 ) is that the entries in the
right ...
Frederick S. Hillier, Gerald J. Lieberman. Analysis of Variation 2 . When the
fundamental insight ( Table 6 . 17 ) is applied , the effect of this change in b2 on
the original final simplex tableau ( middle of Table 6 . 19 ) is that the entries in the
right ...
Page 704
When the original problem satisfies the assumptions of convex programming ,
useful information is available to guide us in this decision . ... ( x * ) = f ( x ) + rB ( x
) , where x * is the ( unknown ) optimal solution for the original problem . Thus , rB
...
When the original problem satisfies the assumptions of convex programming ,
useful information is available to guide us in this decision . ... ( x * ) = f ( x ) + rB ( x
) , where x * is the ( unknown ) optimal solution for the original problem . Thus , rB
...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 other sections not shown
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables nonnegative objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion transportation unit values weeks Wyndor Glass 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 |