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 286
Consider the following problem . Maximize Z = - Xı – 2x2 – X3 , subject to ( a )
Demonstrate graphically that this problem has no feasible solutions . ( b )
Construct the dual problem . ( c ) Demonstrate graphically that the dual problem
has an ...
Consider the following problem . Maximize Z = - Xı – 2x2 – X3 , subject to ( a )
Demonstrate graphically that this problem has no feasible solutions . ( b )
Construct the dual problem . ( c ) Demonstrate graphically that the dual problem
has an ...
Page 287
For any linear programming problem in our standard form and its dual problem ,
label each of the following statements as true or false and then justify your
answer . ( a ) The sum of the number of functional constraints and the number of ...
For any linear programming problem in our standard form and its dual problem ,
label each of the following statements as true or false and then justify your
answer . ( a ) The sum of the number of functional constraints and the number of ...
Page 288
would x220 sic solution for the dual problem by using Eq . ( 0 ) for the pri( a ) How
you identify the optimal solution for the dual mal problem . Then draw your
conclusions about whether these problem ? two basic solutions are optimal for
their ...
would x220 sic solution for the dual problem by using Eq . ( 0 ) for the pri( a ) How
you identify the optimal solution for the dual mal problem . Then draw your
conclusions about whether these problem ? two basic solutions are optimal for
their ...
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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 |