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Page 192
This situation is summarized in Table 5.1 , where defining equations refer to the
constraint boundary equations that yield ( define ) the indicated CPF solution .
For any linear programming problem with n decision variables , each CPF
solution ...
This situation is summarized in Table 5.1 , where defining equations refer to the
constraint boundary equations that yield ( define ) the indicated CPF solution .
For any linear programming problem with n decision variables , each CPF
solution ...
Page 199
Recall that each corner - point solution is the simultaneous solution of a system of
n constraint boundary equations ... The key question is : How do we tell whether
a particular constraint boundary equation is one of the defining equations when ...
Recall that each corner - point solution is the simultaneous solution of a system of
n constraint boundary equations ... The key question is : How do we tell whether
a particular constraint boundary equation is one of the defining equations when ...
Page 200
This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n ... We noted earlier that not every system of
n constraint boundary equations yields a corner - point solution , because either
the ...
This case corresponds to a CPF solution that satisfies another constraint
boundary equation in addition to its n ... We noted earlier that not every system of
n constraint boundary equations yields a corner - point solution , because either
the ...
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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 |