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Page 153
We nearly always have to solve again several times during the model debugging
stage ( described in Secs . 2.3 and 2.4 ) , and we usually have to do so a large
number of times during the later stages of postoptimality analysis as well .
We nearly always have to solve again several times during the model debugging
stage ( described in Secs . 2.3 and 2.4 ) , and we usually have to do so a large
number of times during the later stages of postoptimality analysis as well .
Page 254
Other Applications Already we have discussed two other key applications of
duality theory to sensitivity analysis , namely , shadow prices and the dual
simplex method . As described in Secs . 4.7 and 6.2 , the optimal dual solution ( vt
, yž , ...
Other Applications Already we have discussed two other key applications of
duality theory to sensitivity analysis , namely , shadow prices and the dual
simplex method . As described in Secs . 4.7 and 6.2 , the optimal dual solution ( vt
, yž , ...
Page 452
Use the alto be a shortest - path problem ? gorithm described in Sec . 9.4 to find
the minimum spanning tree ( b ) Use the algorithm described in Sec . 9.3 to solve
this shortest for each of these networks . path problem . 9.4-2 . The Wirehouse ...
Use the alto be a shortest - path problem ? gorithm described in Sec . 9.4 to find
the minimum spanning tree ( b ) Use the algorithm described in Sec . 9.3 to solve
this shortest for each of these networks . path problem . 9.4-2 . The Wirehouse ...
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072416181, 9780072416183 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |