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 442
[ 40 ] [ - 30 ] 9 ( - a ) 3 ( - 0 ) FIGURE 9 . 19 The incremental effect on costs of
adding arc A →C with flow to the initial feasible spanning tree . [ 50 ] 1 - 60 ] Now
what is the incremental effect on Z ( total flow cost ) from adding the flow 8 to arc
A ...
[ 40 ] [ - 30 ] 9 ( - a ) 3 ( - 0 ) FIGURE 9 . 19 The incremental effect on costs of
adding arc A →C with flow to the initial feasible spanning tree . [ 50 ] 1 - 60 ] Now
what is the incremental effect on Z ( total flow cost ) from adding the flow 8 to arc
A ...
Page 504
The rest of this figure then is generated in the same way as for Fig . 10 . 15 . For
example , since activity D has a latest start time of 20 ( versus an earliest start
time of 16 ) , its weekly cost of $ 43 , 333 now begins in week 21 rather than week
17 ...
The rest of this figure then is generated in the same way as for Fig . 10 . 15 . For
example , since activity D has a latest start time of 20 ( versus an earliest start
time of 16 ) , its weekly cost of $ 43 , 333 now begins in week 21 rather than week
17 ...
Page 1160
1 FIGURE A2 . 5 A function that is both convex. f ( x ) A FIGURE A2 , 1 A convex
function . M havior at x = 1 . ) Applying the definition of a concave function , we
see that if 0 < x < 1 and x " > 1 ( as shown in Fig . A2 . 3 ) , then the entire line ...
1 FIGURE A2 . 5 A function that is both convex. f ( x ) A FIGURE A2 , 1 A convex
function . M havior at x = 1 . ) Applying the definition of a concave function , we
see that if 0 < x < 1 and x " > 1 ( as shown in Fig . A2 . 3 ) , then the entire line ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
59 other sections not shown
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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 |