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 116
Thus , two of the variables ( called the nonbasic variables ) are set equal to zero , and then the si- multaneous solution of ... Therefore , the number of nonbasic variables equals the total number of vari- ables minus the number of ...
Thus , two of the variables ( called the nonbasic variables ) are set equal to zero , and then the si- multaneous solution of ... Therefore , the number of nonbasic variables equals the total number of vari- ables minus the number of ...
Page 241
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it consumes must equal ( as opposed to exceeding ) the unit profit from this activity . The second state- ment implies that the marginal value of ...
erates at a strictly positive level ( x ; > 0 ) , the marginal value of the resources it consumes must equal ( as opposed to exceeding ) the unit profit from this activity . The second state- ment implies that the marginal value of ...
Page 487
Similarly , an approximate formula for μ is μ = o + 4m + p 6 Intuitively , this formula is placing most of the weight on the most likely estimate and then small equal weights on the other two estimates . MS Project provides the option ...
Similarly , an approximate formula for μ is μ = o + 4m + p 6 Intuitively , this formula is placing most of the weight on the most likely estimate and then small equal weights on the other two estimates . MS Project provides the option ...
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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 assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering 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 linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ 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 |