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The technique has the advantage that it is relatively easy to implement on a computer and can deal with a wide range of functions, including those that cannot be expressed conveniently in explicit form. The major disadvantage is that it can converge slowly. Several techniques are available to accelerate convergence or, equivalently, to reduce variance. Each can be effective for some problems and counter-productive for others. The choice of which method to employ depends on knowledge of the problem and its components. Sometimes a preliminary calculation with a limited number of simulation points will indicate which variance reduction method can be expected to work best. In many cases two or more techniques can be combined effectively. Finally, accurate Monte Carlo simulation depends on reliable random numbers. Generating random numbers is an art, and one method will not work for all circumstances. There is a substantial literature on the subject, and a person contemplating an important study involving random numbers would be well advised to be satis ed that the random number generators are appropriate for the job.

Consider the decompilation of a program as an example In order to decompile a program, that program must be duplicated at least once, either in memory, on disk, or both The idea is that even if the actual decompilation is legal, this intermediate copying violates copyright law However, this claim has not held up in courts; there have been several cases including Sega v Accolade and Sony v Connectix, where intermediate copying was considered fair use, primarily because the final product did not actually contain anything that was directly copied from the original product From a technological perspective, this makes perfect sense intermediate copies are always created while software is being used, regardless of reverse engineering Consider what happens when a program is installed from an optical media such as a DVD-ROM onto a hard-drive a copy of the software is made.

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This happens again when that program is launched the executable file on disk is duplicated into memory in order for the code to be executed..

Most of this book discusses conceptual issues of uncertainty analysis, statistics, and reliability theory and deals with design examples on their own merits, independent of building codes and other aspects of professional practice. In recent years, however, these concepts of uncertainty, statistics, and reliability have begun to enter the public debate over how new structural and geotechnical building codes ought to be written. An important result of this debate is the evolution of building codes based on reliability considerations. The most important of these developments at present is the appearance of Load and Resistance Factor Design (LRFD) as the basis for new codes. This chapter discusses the evolution of LRFD-based codes and how reliability theory is used to calibrate and optimize these new codes.

Once your level is achieved, there are a number of factors that need to be considered. Does the boat comply with the class rules Have its sails or boat parts been measured correctly What will happen if something breaks, or (more accurately) needs replacing before it breaks Do you need to carry spares Do you have the tools to remove and replace those spares There is little point in taking tools that either don t work or are not required. Most boats will need just a handful of tools to keep them running. For instance, a basic level of need for a 49er is a Phillips screwdriver, two 10-mm spanners, a knife, a lighter, a bit of wire or a splicing needle and some whipping twine. Spares, of course, could run to a spare boat, but this would not only be unpractical, but also not really nancially viable. In most cases, spares are more important than tools, particularly if they are to hand and ready to be used.

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