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 222
(b) Develop a table giving each of the CPF solutions and the corresponding
defining equations, BF solution, and nonbasic variables. Calculate Z for each of
these solutions, and use just this information to identify the optimal solution.
(b) Develop a table giving each of the CPF solutions and the corresponding
defining equations, BF solution, and nonbasic variables. Calculate Z for each of
these solutions, and use just this information to identify the optimal solution.
Page 235
Before this goal has been reached, the corresponding y in row 0 (coefficients of
slack variables) of the current tableau must be in- feasible for the dual problem.
However, after the goal is reached, the corresponding y must be an optimal ...
Before this goal has been reached, the corresponding y in row 0 (coefficients of
slack variables) of the current tableau must be in- feasible for the dual problem.
However, after the goal is reached, the corresponding y must be an optimal ...
Page 252
... 0 of the simplex tableau is the following: Since artificial variables play the role
of slack variables, their coefficients in row 0 now provide the values of the
corresponding dual variables in the complementary basic solution for the dual
problem.
... 0 of the simplex tableau is the following: Since artificial variables play the role
of slack variables, their coefficients in row 0 now provide the values of the
corresponding dual variables in the complementary basic solution for the dual
problem.
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
44 other sections not shown
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Common terms and phrases
activity additional algorithm alternative amount analysis apply assigned assumed basic variable begin BF solution bound 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 maximum mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform 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 weeks
Bibliographic information
| Title | Introduction to Operations Research McGraw-Hill International Editions McGraw-Hill industrial & plant engineering series 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 | Pennsylvania State University |
| Digitized | 26 Aug 2009 |
| ISBN | 0071181636, 9780071181631 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |