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 120
As indicated next , we call x2 the entering basic variable for iteration 1 . At any iteration of the simplex method , the purpose of step 1 is to choose one nonbasic variable to increase from zero ( while the values of the basic ...
As indicated next , we call x2 the entering basic variable for iteration 1 . At any iteration of the simplex method , the purpose of step 1 is to choose one nonbasic variable to increase from zero ( while the values of the basic ...
Page 178
Also identify the initial entering basic variable and the leaving basic variable . I ( c ) Work through the simplex method step by step to solve the problem . ( a ) Solve this problem graphically . ( b ) Using the Big M method ...
Also identify the initial entering basic variable and the leaving basic variable . I ( c ) Work through the simplex method step by step to solve the problem . ( a ) Solve this problem graphically . ( b ) Using the Big M method ...
Page 377
Increasing the entering basic variable from zero sets off a chain reaction of compensating changes in other basic variables ( allocations ) , in order to continue satisfying the supply and demand constraints . The first basic variable ...
Increasing the entering basic variable from zero sets off a chain reaction of compensating changes in other basic variables ( allocations ) , in order to continue satisfying the supply and demand constraints . The first basic variable ...
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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 |