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 192
1 , where defining equations refer to the constraint boundary equations that yield
( define ) the indicated CPF solution . For any linear programming problem with n
decision variables , each CPF solution lies at the intersection of n constraint ...
1 , where defining equations refer to the constraint boundary equations that yield
( define ) the indicated CPF solution . For any linear programming problem with n
decision variables , each CPF solution lies at the intersection of n constraint ...
Page 199
Recall that each corner - point solution is the simultaneous solution of a system of
n constraint boundary equations ... The key question is : How do we tell whether
a particular constraint boundary equation is one of the defining equations when ...
Recall that each corner - point solution is the simultaneous solution of a system of
n constraint boundary equations ... The key question is : How do we tell whether
a particular constraint boundary equation is one of the defining equations when ...
Page 200
This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n ... We noted earlier that not every system of
n constraint boundary equations yields a corner - point solution , because either
the ...
This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n ... We noted earlier that not every system of
n constraint boundary equations yields a corner - point solution , because either
the ...
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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 |