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 115
The slack variable for this constraint is defined to be X3 = 4 - X1 , which is the amount of slack in the left - hand side of the inequality . Thus , = X1 + X3 = 4 . Given this equation , x1 ≤ 4 if and only if 4 x1 = x3 = 0.
The slack variable for this constraint is defined to be X3 = 4 - X1 , which is the amount of slack in the left - hand side of the inequality . Thus , = X1 + X3 = 4 . Given this equation , x1 ≤ 4 if and only if 4 x1 = x3 = 0.
Page 214
Thus , just as stated in the verbal description of the fundamental insight , the coefficients of the slack variables in the new tableau do indeed provide a record of the algebraic ...
Thus , just as stated in the verbal description of the fundamental insight , the coefficients of the slack variables in the new tableau do indeed provide a record of the algebraic ...
Page 484
The slack for an activity is the difference between its latest finish time and its earliest fin- ish time . In symbols , Slack = LF - EF . ( Since LF EF = LS - ES , either difference actually can be used to calculate slack . ) ...
The slack for an activity is the difference between its latest finish time and its earliest fin- ish time . In symbols , Slack = LF - EF . ( Since LF EF = LS - ES , either difference actually can be used to calculate slack . ) ...
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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 |