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 539
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
In general , the states are the various possible conditions in which the system might be at that stage of the problem . The number of states may be either finite ( as in the stagecoach problem ) or infinite ( as in some subsequent ...
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 x as a function of ...
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 x as a function of ...
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 optimization 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 optimization process is to ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ 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 |