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 364
... allocation , so its entire demand of 70 must be filled from the real sources rather than the dummy source . This requirement calls for the Big M method ! Assigning a huge unit cost of M to the allocation from the dummy source to Los ...
... allocation , so its entire demand of 70 must be filled from the real sources rather than the dummy source . This requirement calls for the Big M method ! Assigning a huge unit cost of M to the allocation from the dummy source to Los ...
Page 369
... ( allocation ) . 1. From the rows and columns still under consideration , select the next basic variable ( al- location ) according to some criterion . 2. Make that allocation large enough to exactly use up the remaining supply in its row ...
... ( allocation ) . 1. From the rows and columns still under consideration , select the next basic variable ( al- location ) according to some criterion . 2. Make that allocation large enough to exactly use up the remaining supply in its row ...
Page 378
... allocation automatically provides the leav- ing basic variable . ( In the case of a tie for the donor cell having the smallest allocation , any one can be chosen arbitrarily to provide the leaving basic variable . ) Step 3. The new BF ...
... allocation automatically provides the leav- ing basic variable . ( In the case of a tie for the donor cell having the smallest allocation , any one can be chosen arbitrarily to provide the leaving basic variable . ) Step 3. The new BF ...
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost CPF solution CPLEX decision variables described 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 graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values 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 |