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 173
(ht For each CPF solution, identify the pair of constraint bound- ary equations that
it satisfies. (c) For each CPF solution, use this pair of constraint boundary
equations to solve algebraically for the values of Xi and x2 at the corner point. (d)
For ...
(ht For each CPF solution, identify the pair of constraint bound- ary equations that
it satisfies. (c) For each CPF solution, use this pair of constraint boundary
equations to solve algebraically for the values of Xi and x2 at the corner point. (d)
For ...
Page 222
Identify the CPF solutions by circling them on the graph. (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 ...
Identify the CPF solutions by circling them on the graph. (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 ...
Page 288
Use this solution to identify the basic variables and the nonbasic variables for the
optimal solution of the primal problem. Directly derive this solution, using
Gaussian elimination. 6.3-7.* Reconsider the model of Prob. 6.l-4b. (a) Construct
its ...
Use this solution to identify the basic variables and the nonbasic variables for the
optimal solution of the primal problem. Directly derive this solution, using
Gaussian elimination. 6.3-7.* Reconsider the model of Prob. 6.l-4b. (a) Construct
its ...
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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 |