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 337
... First priority Employment level Capital investment ≤40 2M ≤55 3M Second priority Long - run profit Employment level ≥125 5 ≥40 4 usual way . If the resulting optimal solution is unique , we adopt it immediately without considering ...
... First priority Employment level Capital investment ≤40 2M ≤55 3M Second priority Long - run profit Employment level ≥125 5 ≥40 4 usual way . If the resulting optimal solution is unique , we adopt it immediately without considering ...
Page 818
... first time . This length of time is called the first passage time in going from state i to state j . When j = i , this first passage time is just the number of transitions until the process returns to the initial state i . In this case ...
... first time . This length of time is called the first passage time in going from state i to state j . When j = i , this first passage time is just the number of transitions until the process returns to the initial state i . In this case ...
Page 819
... first passage time in go- ing from state 3 to state 0 is obtained from these recursive relationships as follows ... first passage time . Although obtaining f for all n may be tedious , it is relatively simple to obtain the expected first ...
... first passage time in go- ing from state 3 to state 0 is obtained from these recursive relationships as follows ... first passage time . Although obtaining f for all n may be tedious , it is relatively simple to obtain the expected first ...
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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 allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming graphical identify increase initial BF solution integer 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 resource right-hand sides sensitivity analysis shadow prices shown slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero