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The values of are close but not identical to those in Tables 16.1 and 16.2. This is not an unexpected result. The de nitions of reliability index are different. When is de ned as the ratio of the mean and standard deviation of the failure function, it is a measure of the location and shape of the failure function. If we assume or know the shape of the distribution of the failure function (e.g. Normal or LogNormal) the reliability index can be used to compute the probability of failure. In the Hasofer-Lind analysis the reliability index de nes the distance from the means of the variables to the failure point. The probability of failure is computed by evaluating how much of the distribution of the variables falls on the unsafe side. The probability distribution of the failure function does not enter the calculations, and the shape of the failure function enters only insofar as it de nes the boundary between the regions. The two de nitions agree only when the failure function is linear. Many non-linear problems have multiple solutions, and a particular iterative scheme may not converge or may converge on a solution other than the optimal one. In the present cases three iterative procedures the Rackwitz algorithm, the MATHCAD minimization, and a spreadsheet minimization give the same results, so we can have some con dence in the results. In other cases the analyst must examine the results to be sure that they are reasonable.

or 2 kgs per week (a calories de cit of around 500 1000 a day). The more rapid the weight loss, the more likely it is that lean tissue may be lost (which means a loss in strength). Also, the more restrictive a diet is in terms of total calories, the harder it is to maintain a healthy diet. Sudden weight loss is not recommended, but it may be desirable for classes where a weigh-in is required. This way the crew can, for example, weigh a kilogram or so more each, drop this weight for the weigh-in and then replace it. The healthiest way to do this is to lose the uid as close as possible to the weighin and then replace it straight after. Increasing potassium levels (citrus fruits are high in potassium) can help to excrete water, and vigorous exercise will help sweat the weight out. After weigh-in, drink to recover the weight as soon as possible. Ideally, take a hypotonic drink with electrolytes so the drink is absorbed quicker and retained longer, providing maximum rehydration. Short-term fasting is not recommended.

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7C962513) you established that taking each element s offset +4 takes you backward in the list, toward the lowered-indexed elements This loop does the same thing, except that it starts from the very end of the list All RtlGetElementGenericTable is doing is it s trying to find the right element in the lowest possible number of iterations By the time EDX gets to zero, you know that you ve found the element The code then flows into ntdll7C96254E, which you ve examined before This is the code that caches the element you ve found into offsets +c and +10 of the root data structure This code flows right into the area in the function that returns the pointer to our element s data to the caller What happens when (in the previous sequence) EDI == 0, and the jump to ntdll.

Most practical cases involve non-linear failure functions When there are only two variables X and Y , the relations can be examined on a two-dimensional plot as in Figure 165 The joint probability density functions plots upwards out of the paper Line A is the case of the linear failure criterion, already illustrated in Figures 162 and 163 The probability of failure is the volume under the joint probability density function on the unsafe side of the failure criterion Curve B is a convex failure criterion Since the linear failure line is tangent to curve B, the volume on the unsafe side of curve B must be less than that on the unsafe side of curve A The probability of failure computed on the assumption that the failure criterion is linear is, therefore, a conservative estimate Figure 166 presents an oblique view of this case.

7C96254E is taken This simply skips the loop and goes straight to the caching of the found element, followed by returning it to the caller In this case, the function returns the previously found element the one whose pointer is cached in offset +c of the root data structure..

If neither of the previous two branches is taken, you know that EDI < EDX (because you ve examined all other possible options). In this case, you know that you must move forward in the list (toward higher-indexed elements) in order to get from the cached element in offset +c to the element you are looking for. Here is the forward-searching loop:

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