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 556
We now have an infinite number of possible states ( 240 ≤ s3 ≤ 255 ) , so it is no longer feasible to solve separately for x for each possible value of $ 3 . Therefore , we instead have solved for x3 as a function of the unknown $ 3 .
We now have an infinite number of possible states ( 240 ≤ s3 ≤ 255 ) , so it is no longer feasible to solve separately for x for each possible value of $ 3 . Therefore , we instead have solved for x3 as a function of the unknown $ 3 .
Page 587
K out of N Constraints Must Hold Consider the case where the overall model includes a set of N possible constraints such that only some K of these constraints must hold . ( Assume that K < N. ) Part of the opti- mization process is to ...
K out of N Constraints Must Hold Consider the case where the overall model includes a set of N possible constraints such that only some K of these constraints must hold . ( Assume that K < N. ) Part of the opti- mization process is to ...
Page 751
In general terms , the decision maker must choose an action from a set of possible actions . The set contains all the feasible alternatives under consideration for how to pro- ceed with the problem of concern .
In general terms , the decision maker must choose an action from a set of possible actions . The set contains all the feasible alternatives under consideration for how to pro- ceed with the problem of concern .
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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 |