Introduction to Operations Research, Volume 1CD-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 397
Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal solution for this problem . D , 1 8.2-16 . Reconsider Prob . 8.1-6 . Starting with Russell's approximation method ...
Starting with the northwest corner rule , interactively apply the transportation simplex method to obtain an optimal solution for this problem . D , 1 8.2-16 . Reconsider Prob . 8.1-6 . Starting with Russell's approximation method ...
Page 718
13.6-16 . Starting from the initial trial solution ( X1 , X2 , X3 ) = ( 0 , 0 , 0 ) , apply two iterations of the FrankWolfe algorithm . ( a ) Starting from the initial trial solution ( x1 , x2 ) = ( , ) , apply three iterations of the ...
13.6-16 . Starting from the initial trial solution ( X1 , X2 , X3 ) = ( 0 , 0 , 0 ) , apply two iterations of the FrankWolfe algorithm . ( a ) Starting from the initial trial solution ( x1 , x2 ) = ( , ) , apply three iterations of the ...
Page 791
( c ) Apply the backward induction procedure , and identify the resulting optimal policy . a A 15.4-8 . Jose Morales manages a large outdoor fruit stand in one of the less affluent neighborhoods of San Jose , California .
( c ) Apply the backward induction procedure , and identify the resulting optimal policy . a A 15.4-8 . Jose Morales manages a large outdoor fruit stand in one of the less affluent neighborhoods of San Jose , California .
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm 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 direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero