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to work on boat handling than to go racing You cannot race effectively if your boat handling is not up to scratch; it will impact on your race tactics and strategy Undoubtedly the best way to improve all aspects of boat handling is that old clich : time on the water However, the more speci c and demanding you make the exercises, the greater the potential gains It is also good to change exercises to add variety and keep motivation to train high Once good boat handling has been achieved, you can rediscover key skills very quickly after a reasonable break Boat handling routines can also be a good way of developing speci c tness, for example by doing lots of spinnaker hoists and drops Boat handling skills are required at low speed (little wind) and high load (when just hit by a gust).

A splay tree (also known as a self-adjusting binary search tree) is an interesting solution to this problem, where every node that is touched (in any operation) is immediately brought to the top of the tree This makes the tree act like a cache of sorts, whereby the most recently used items are always readily available, and the least used items are tucked at the bottom of the tree By definition, splay trees always rotate the most recently used item to the top of the tree This is why.

Most practical applications of the Monte Carlo method require that a function be evaluated at a large number of points, so a computer is essential. Indeed, the popularity of Monte

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you re seeing a call to RtlSplay immediately after adding a new element (the new element becomes the root of the tree), and you should also see a call to the same function after deleting and even just searching for an element. Figures 5.1 through 5.5 demonstrate how RtlSplay progressively raises the newly added item in the tree s hierarchy until it becomes the root node.

Carlo methods coincides historically with the availability of computers. Today the analyst can use many computer systems speci cally written for stochastic simulation, Monte Carlo capabilities are in most general-purpose statistical software, and even spreadsheets include the functions necessary to perform Monte Carlo analyses. Thus, software developers have now resolved many issues with which the analyst had to wrestle in the past. Nevertheless, the analyst should be aware of some of the issues that lie behind the Monte Carlo method because it may be necessary to perform analyses that are beyond the capabilities of canned software packages, and it may be necessary to check that the software is functioning properly.

Remember how before you started digging into the generic table I mentioned two functions (RtlGetElementGenericTable and RtlLookupElement GenericTable) that appeared to be responsible for retrieving elements Because you know that RtlGetElementGenericTable searches for an element by its index, RtlLookupElementGenericTable must be the one that provides some sort of search capabilities for a generic table. Let s have a look at RtlLookupElementGenericTable (see Listing 5.8).

It is not all about acceleration and top speed Being able to slow down, hold position and turn without going forward are all vital skills on the race course Boat handling skills really cover any type of sailing which isn t sailing in a straight line Land-based drills are a vital part of boat handling development as you can slow tasks down, stop in the middle and think about what you are doing (without risking a capsize or getting stuck head to wind) Having good boat handling means that you have all the tactical options: you can tack under someone, knowing you will come out with good speed and not get rolled, or you can leave the gybe right to the lay line, knowing you can put the gybe in quickly and exactly where you want to.

Figure 5.1 Binary tree after adding a new item. New item is connected to the tree at the most appropriate position, but no other items are moved.

Any simulation that relies on random numbers requires that there be some way to generate the random numbers There is a large literature on the subject (Kahaner et al 1989; Press et al 1992; Fishman 1995; Knuth 1997), and readers interested in the details of random number generation should consult those references The following is a brief summary of the highlights The very concept of a series of uniformly distributed random numbers is a dif cult one to formulate, even though it seems intuitively simple Statisticians have developed a set of criteria that must be satis ed by a sequence of truly random numbers First, they must be uniformly distributed over the interval of de nition Statisticians use tests such as the 2 and Kolmogorov Smirnov tests to determine whether the numbers are uniformly distributed Rubinstein (1981) and Press et al (1992) give the details.

Figure 5.2 Binary tree after first splaying step. The new item has been moved up by one level, toward the root of the tree. The previous parent of our new item is now its child.

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