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 225
You are given the facts that the basic variables in the optimal so - lution are X3 ,
X1 , and xs and that 53 1 07 - 1 [ 11 - 3 17 2 4 1 = 7 - 6 9 - 3 . LO 1 3 1 2 - 3 10 ( a
) Use the given information to identify the optimal solution . ( b ) Use the given ...
You are given the facts that the basic variables in the optimal so - lution are X3 ,
X1 , and xs and that 53 1 07 - 1 [ 11 - 3 17 2 4 1 = 7 - 6 9 - 3 . LO 1 3 1 2 - 3 10 ( a
) Use the given information to identify the optimal solution . ( b ) Use the given ...
Page 786
I ( i ) Given that research is done , what is the expected payoff when using Bayes '
decision rule ? ( j ) Use the preceding results to determine the optimal policy
regarding whether to do the research and the choice of the decision alternative .
I ( i ) Given that research is done , what is the expected payoff when using Bayes '
decision rule ? ( j ) Use the preceding results to determine the optimal policy
regarding whether to do the research and the choice of the decision alternative .
Page 787
You are given that the probability of 30 spares , given a Poisson distribution with
mean 0 . is 0 . 013 for A = 21 and 0 , 036 for 6 = 24 . Find the optimal action under
Bayes ' decision rule . 15 . 3 - 10 . An athletic league does drug testing of its ...
You are given that the probability of 30 spares , given a Poisson distribution with
mean 0 . is 0 . 013 for A = 21 and 0 , 036 for 6 = 24 . Find the optimal action under
Bayes ' decision rule . 15 . 3 - 10 . An athletic league does drug testing of its ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero