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 306
( f ) For the optimal solution obtained under each of the six scenarios ( including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of ...
( f ) For the optimal solution obtained under each of the six scenarios ( including the good weather scenario considered in parts ( a ) to ( d ) ] , calculate what the family's monetary worth would be at the end of the year if each of ...
Page 397
Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal ... DJ ( g ) Starting with the initial BF solution obtained from part ( f ) , interactively apply the transportation ...
Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal ... DJ ( g ) Starting with the initial BF solution obtained from part ( f ) , interactively apply the transportation ...
Page 718
solution ( x1 , x2 ) = ( 0 , 0 ) , use one iteration of the Frank - Wolfe algorithm to obtain exactly the same solution ... Explain why exactly the same results would be obtained on these two iterations with any other trial solution .
solution ( x1 , x2 ) = ( 0 , 0 ) , use one iteration of the Frank - Wolfe algorithm to obtain exactly the same solution ... Explain why exactly the same results would be obtained on these two iterations with any other trial solution .
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
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