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. |
From inside the book
Results 1-3 of 83
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 infeasible 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 infeasible for the dual problem .
However , after the goal is reached , the corresponding y must be an optimal ...
Page 252
With the Big M method , since M has been added initially to the coefficient of each
artificial variable in row 0 , the current value of each corresponding dual variable
is the current coefficient of this artificial variable minus M . For example , look at ...
With the Big M method , since M has been added initially to the coefficient of each
artificial variable in row 0 , the current value of each corresponding dual variable
is the current coefficient of this artificial variable minus M . For example , look at ...
What people are saying - Write a review
User Review - Flag as inappropriate
i
User Review - Flag as inappropriate
I want review this book
Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 other sections not shown
Other editions - View all
Common terms and phrases
activity additional algorithm allocation 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 solutions 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 nonnegative 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion transportation unit values weeks Wyndor Glass zero
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 |