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 85
The last use above illustrates that this function can be placed on the left of an assignment statement to place solution results into the spreadsheet ... Let us illustrate the ODBC connection for our little product - mix example .
The last use above illustrates that this function can be placed on the left of an assignment statement to place solution results into the spreadsheet ... Let us illustrate the ODBC connection for our little product - mix example .
Page 87
The last use above illustrates that this function can be placed on the left of an assignment statement to place solution results into the spreadsheet ... Let us illustrate the ODBC connection for our little product - mix example .
The last use above illustrates that this function can be placed on the left of an assignment statement to place solution results into the spreadsheet ... Let us illustrate the ODBC connection for our little product - mix example .
Page 684
To illustrate this notation , consider the following example of a quadratic programming problem . Maximize f ( x1 , x2 ) = 15x1 + 30x2 + 4x1x2 – 2xí – 4xż , subject to X1 + 2x2 < 30 and x = 0 , x2 > 0 .
To illustrate this notation , consider the following example of a quadratic programming problem . Maximize f ( x1 , x2 ) = 15x1 + 30x2 + 4x1x2 – 2xí – 4xż , subject to X1 + 2x2 < 30 and x = 0 , x2 > 0 .
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
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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 constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region 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 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 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 |