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f (ci , i ) h(ci , i )

Listing 7.3 (continued)

It is impossible to sail at your very best every hour of every day, every day of every week, every week of every year and every year of your life! You therefore need to consider the most important time(s) for you to peak and how long it will take. Remember the different elements, such as boat work (see 20) and tness (see 14). However, the moment you are most focused is when the subconscious takes over. This is sometimes referred to as being in the zone . You almost feel as if you have woken up to nd that you have sailed very fast and moved away from boats around you. When you try REALLY hard to concentrate you can make things worse, as you do not relax enough to feel the boat, and you can easily get frustrated if you fall out of phase with the wind and the waves. Unfortunately, it is not possible to just put yourself in the zone. All you can do is lots of racing until you know what to do and can relax, switch off and almost steer/ sheet/trim by instinct. This is why mental tness is such a vital part of successful sailing. Being in the zone just happens naturally. If you cannot relax and get in the zone, try not to let this worry you, as this way you will never get there! Instead, try and concentrate on the most important variable (perhaps spotting the shifts). When you are happy with this, try and take on more variables, while still paying attention to the rst (and most important one). You may nd that, with time, you can concentrate on the rst variable without trying.

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68cc6a36 68cc6a39 68cc6a3c 68cc6a3f 68cc6a43 68cc6a45 68cc6a47 68cc6a4c 68cc6a4f 68cc6a50 68cc6a51 68cc6a58 68cc6a59 68cc6a5a . . .

(17.45)

edi,[ebp+0x10] eax,[ebp+0xc] dword ptr [ebp-0x3c] dword ptr [ebp-0x4],0xffffffff edi,1 [eax],edi query!ciDelete (68d4a9ae) ecx,[ebp-0xc] edi esi fs:[00000000],ecx ebx 0x10

where Ji is as de ned for the basic Monte Carlo method. This leads to the following computational procedure: 1. Establish n = the number of simulation points to be used. 2. For each point i generate a pair of values ci and i from the distribution h(ci , i ). Note that this is not f (ci , i ) and does not include the correlation. 3. If M(ci , i ) > 0, skip to the next i. If M(ci , i ) 0, calculate f (ci , i )/ h(ci , i ), add the result to a running sum, and go to the next i. 4. After all n points have been evaluated, the estimate of pf is the running sum divided by n. The correct probability of failure for the parameters in Example 17.1 is 0.0362. Both the basic Monte Carlo simulation and the importance-sampled simulation were run for n = 10, 100, and 1000, and each simulation was repeated ten times. Figure 17.9 shows the results. There are two vertical lines above each value of n. The right one represents the results for the basic simulation, and the left one corresponds to the importance sampled simulation. The top of the line is the largest estimate of pf , the bottom is the smallest value, and the horizontal line near the middle of the vertical line represents the mean result. It is not surprising that results for basic simulation with n = 10 are poor, but the mean result for the importance sampled simulation with n = 10 is remarkably good. The results

Listing 7.3 (continued)

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