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A department store faces a decision for a seasonal product for which demand can be high, medium or low. The purchaser can order 1, 2 or 3 lots of this product before the season begins but cannot reorder later. Profit projections (in thousands of euro) are shown below
1. If the probabilities are 0.3 for high, 0.3 for medium and 0.4 for low, what is the recommended order quantity? Calculate the expected return based on these values.
2. Simulate twenty seasons and identify the recommended order quantity from this simulation.
3. Calculate the average return based on the simulated demand and compare your result with the expected return.
Evaluate the convergence of the algorithms: From the convergence proof of power method, LR and QR algorithm for the computation of eigenvalues we see that the easiest case to
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y+7 3y-2 --- = 1 + ---- 3 5
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what are the characteristic of digital ic
x 4 - 25 There is no greatest common factor here. Though, notice that it is the difference of two perfect squares. x 4 - 25 = ( x 2 ) 2 - (5) 2 Thus, we can employ
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In parallelogram ABCD, m∠A = 3x + 10 and m∠D = 2x + 30, Determine the m∠A. a. 70° b. 40° c. 86° d. 94° d. Adjacent angles in a parallelogram are supplementary. ∠A a
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