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 195
Consider any linear programming problem with n decision variables and a bounded feasible region . A CPF solution lies at the intersection of n constraint boundaries ( and satisfies the other constraints as well ) .
Consider any linear programming problem with n decision variables and a bounded feasible region . A CPF solution lies at the intersection of n constraint boundaries ( and satisfies the other constraints as well ) .
Page 198
largement of the feasible region to the right of ( , 5 ) . Consequently , the adjacent CPF solutions for ( 2 , 6 ) now are ( 0 , 6 ) and ( š , 5 ) , and again neither is better than ( 2 , 6 ) . However , another CPF solution ( 4 ...
largement of the feasible region to the right of ( , 5 ) . Consequently , the adjacent CPF solutions for ( 2 , 6 ) now are ( 0 , 6 ) and ( š , 5 ) , and again neither is better than ( 2 , 6 ) . However , another CPF solution ( 4 ...
Page 1200
... 1155 Blending program , 56 – 57 Bolzano search plan , 671 Bottom - up approach forecasting , 1014 Boundary of the feasible region , 190 – 191 , 193 – 194 , 704 Boundary repulsion term , 703 Bounded feasible region , 593 Bounding ...
... 1155 Blending program , 56 – 57 Bolzano search plan , 671 Bottom - up approach forecasting , 1014 Boundary of the feasible region , 190 – 191 , 193 – 194 , 704 Boundary repulsion term , 703 Bounded feasible region , 593 Bounding ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
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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 constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 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 remaining resource respective resulting revised 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 |