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 113
Solution concept 1 : The simplex method focuses solely on CPF solutions . For
any problem with at least one optimal solution , finding one requires only finding
a best CPF solution . ' Since the number of feasible solutions generally is infinite
...
Solution concept 1 : The simplex method focuses solely on CPF solutions . For
any problem with at least one optimal solution , finding one requires only finding
a best CPF solution . ' Since the number of feasible solutions generally is infinite
...
Page 174
4xı – x2 5 10 - X1 + 2x2 5 5 and ( b ) For each CPF solution , identify the
corresponding BF solution by calculating the values of the slack variables . For
each BF solution , use the values of the variables to identify the nonbasic
variables and the ...
4xı – x2 5 10 - X1 + 2x2 5 5 and ( b ) For each CPF solution , identify the
corresponding BF solution by calculating the values of the slack variables . For
each BF solution , use the values of the variables to identify the nonbasic
variables and the ...
Page 195
A CPF solution lies at the intersection of n constraint boundaries ( and satisfies
the other constraints as well ) . An edge of the ... Two CPF solutions are adjacent
if the line segment connecting them is an edge of the feasible region . Emanating
...
A CPF solution lies at the intersection of n constraint boundaries ( and satisfies
the other constraints as well ) . An edge of the ... Two CPF solutions are adjacent
if the line segment connecting them is an edge of the feasible region . Emanating
...
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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 |