Introduction to Operations Research, Volume 1CD-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 237
If x is not optimal for the primal problem , then y is not feasible for the dual problem . = 2 To illustrate , after one iteration for the Wyndor Glass Co. problem , xy = 0 , x2 = 6 , and yı = 0 , yz = { , yz = 0 , with cx = 30 = yb .
If x is not optimal for the primal problem , then y is not feasible for the dual problem . = 2 To illustrate , after one iteration for the Wyndor Glass Co. problem , xy = 0 , x2 = 6 , and yı = 0 , yz = { , yz = 0 , with cx = 30 = yb .
Page 286
Construct and graph a primal problem with two decision variables and two functional constraints that has feasible solutions and an unbounded objective function . Then construct the dual problem and demonstrate graphically that it has no ...
Construct and graph a primal problem with two decision variables and two functional constraints that has feasible solutions and an unbounded objective function . Then construct the dual problem and demonstrate graphically that it has no ...
Page 287
( b ) At each iteration , the simplex method simultaneously identifies a CPF solution for the primal problem and a CPF solution for the dual problem such that their objective function values are the same . ( c ) If the primal problem ...
( b ) At each iteration , the simplex method simultaneously identifies a CPF solution for the primal problem and a CPF solution for the dual problem such that their objective function values are the same . ( c ) If the primal problem ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm 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 direction distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |