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
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes all these components . The parameters for the functional constraints are in rows 5 , 6 , and 7 , and the coefficients for the objective function are in row 8 ...
Each functional constraint The spreadsheet layout shown in Fig . 3.14 includes all these components . The parameters for the functional constraints are in rows 5 , 6 , and 7 , and the coefficients for the objective function are in row 8 ...
Page 243
6.1 ( and the direct association between variables shown in Table 6.7 ) , the correspondence between basic solutions in the primal and dual problems is a symmetric one . Furthermore , a pair of complementary basic solutions has the same ...
6.1 ( and the direct association between variables shown in Table 6.7 ) , the correspondence between basic solutions in the primal and dual problems is a symmetric one . Furthermore , a pair of complementary basic solutions has the same ...
Page 283
In the feasible region shown in Fig . 6.3 , the geometric interpretation of changing the objective function from Z = 3x1 + 5x2 to Z ( 0 ) = ( 3 + Oxı + ( 5 – 20x2 is that we are ) – changing the slope of the original objective function ...
In the feasible region shown in Fig . 6.3 , the geometric interpretation of changing the objective function from Z = 3x1 + 5x2 to Z ( 0 ) = ( 3 + Oxı + ( 5 – 20x2 is that we are ) – changing the slope of the original objective function ...
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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 |