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Page 734
By applying the probability theory definition of expected value, this quantity is $
Expected payoff for player 1 = t - n X. ... there are four possible payoffs (-2, 2, 4, -3
). each occurring with a probability of , so the expected payoff is #(-2 + 2 + 4 – 3) ...
By applying the probability theory definition of expected value, this quantity is $
Expected payoff for player 1 = t - n X. ... there are four possible payoffs (-2, 2, 4, -3
). each occurring with a probability of , so the expected payoff is #(-2 + 2 + 4 – 3) ...
Page 752
Therefore, with the payoff in units of thousands of dollars of profit, the payoff table
can be obtained directly from Table 15.1, as shown in Table 15.2. We will use this
payoff table next to find the optimal action according to each of the three ...
Therefore, with the payoff in units of thousands of dollars of profit, the payoff table
can be obtained directly from Table 15.1, as shown in Table 15.2. We will use this
payoff table next to find the optimal action according to each of the three ...
Page 762
TABLE 15.3 The optimal policy with experimentation, under Bayes' decision rule,
for the Goferbroke Co. problem Finding from Expected Payoff Expected Payoff
including Seismic Survey | Optimal Action Excluding Cost of Survey Cost of ...
TABLE 15.3 The optimal policy with experimentation, under Bayes' decision rule,
for the Goferbroke Co. problem Finding from Expected Payoff Expected Payoff
including Seismic Survey | Optimal Action Excluding Cost of Survey Cost of ...
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activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier 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 | 0072416181, 9780072416183 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |