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 115
If a slack variable equals 0 in the current solution , then this solution lies on the
constraint boundary for the corresponding functional constraint . A value greater
than 0 means that the solution lies on the feasible side of this constraint boundary
...
If a slack variable equals 0 in the current solution , then this solution lies on the
constraint boundary for the corresponding functional constraint . A value greater
than 0 means that the solution lies on the feasible side of this constraint boundary
...
Page 192
1 , where defining equations refer to the constraint boundary equations that yield
( define ) the indicated CPF solution . ... each CPF solution lies at the intersection
of n constraint boundaries ; i . e . , it is the simultaneous solution of a system of n ...
1 , where defining equations refer to the constraint boundary equations that yield
( define ) the indicated CPF solution . ... each CPF solution lies at the intersection
of n constraint boundaries ; i . e . , it is the simultaneous solution of a system of n ...
Page 201
For the original form of the problem , recall that an adjacent CPF solution is
reached from the current one by ( 1 ) deleting one constraint boundary ( defining
equation ) from the set of n constraint boundaries defining the current solution , (
2 ) ...
For the original form of the problem , recall that an adjacent CPF solution is
reached from the current one by ( 1 ) deleting one constraint boundary ( defining
equation ) from the set of n constraint boundaries defining the current solution , (
2 ) ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
57 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 calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion 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 |