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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
Reconsider the networks shown in Prob . 9.3-3 . Use the algorithm described in
Sec . 9.4 to find the ... ( a ) Describe how this problem fits the network description
of the minimum spanning tree problem . ( b ) Use the algorithm described in Sec .
Reconsider the networks shown in Prob . 9.3-3 . Use the algorithm described in
Sec . 9.4 to find the ... ( a ) Describe how this problem fits the network description
of the minimum spanning tree problem . ( b ) Use the algorithm described in Sec .
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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 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
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 |