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 69
Finally , the value of the objective function is entered in cell E8 . Much like the other values in column E , it is the sum of products . The equation for cell E8 is = SUMPRODUCT ( C8 : D8 , C9 : D9 ) . The lower right - hand side of ...
Finally , the value of the objective function is entered in cell E8 . Much like the other values in column E , it is the sum of products . The equation for cell E8 is = SUMPRODUCT ( C8 : D8 , C9 : D9 ) . The lower right - hand side of ...
Page 148
Begin with their objective functions . Big M Method : Minimize Z = 0.4x1 + 0.5x2 + MX4 + Mło . Two - Phase Method : Phase 1 : Phase 2 : Minimize Minimize Z = 4 + X6 Z = 0.4x1 + 0.5x2 . Because the Mx4 and Mło terms dominate the 0.4x ...
Begin with their objective functions . Big M Method : Minimize Z = 0.4x1 + 0.5x2 + MX4 + Mło . Two - Phase Method : Phase 1 : Phase 2 : Minimize Minimize Z = 4 + X6 Z = 0.4x1 + 0.5x2 . Because the Mx4 and Mło terms dominate the 0.4x ...
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients . Regardless of whether x ; is a basic or nonbasic variable , the allowable range to stay optimal for c ; is valid only if this objective function coefficient is the only ...
Analyzing Simultaneous Changes in Objective Function Coefficients . Regardless of whether x ; is a basic or nonbasic variable , the allowable range to stay optimal for c ; is valid only if this objective function coefficient is the only ...
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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 |