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over time as in the cases of transient ow or dynamic excitation, additional terms must be included. In some formulations of the dynamic problem, the vectors and matrices have complex terms. Non-linear material properties usually require incremental or iterative approaches. Nevertheless, despite the large number of possible variations and extensions, the basic method is that described by Equations (19.1) (19.4).

Viewing a campaign in terms of levels, where the bottom level is the basic competitive boat and anything above that is a bonus, what do the champions, at the level you are aiming at, have If the basic boat is below this level, draw up a priority list that de nes what it is most important to get hold of, or do, to close that gap. It is worth looking at the level you are aiming at, for it might be that the World Champion spends a lot of money on a potentially tiny advantage just because he/she perceives that it helps his/her mind set. For the National title or the club trophy, it will make not the blind bit of difference. (Nor, for that matter, will it make a difference for the World title.) So be careful of the blind alleys.

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This transformation can be improved upon in several different ways, depending on how much performance and code size you re willing to give up. In a native code environment such as IA-32 assembly language, it might be beneficial to add some kind of disassembler-confusion macros such as the ones described earlier in this chapter. If made reasonably polymorphic, such macros would not be trivial to remove, and would really complicate the reversing process for this kind of a function. That s because these macros would prevent reversers from being able to generate a full listing of the obfuscated at any given moment. Reversing a table interpretation function such as the one in Listing 10.3 without having a full view of the entire function is undoubtedly an unpleasant reversing task. Other than the confusion macros, another powerful enhancement for the obfuscation of the preceding function would be to add an additional lookup table, as is demonstrated in Listing 10.4.

The simplest way to employ nite element methods in a reliability analysis is to treat the material properties as random variables that do not vary across their region of de nition This approach does not try to use the nite element methodology to represent the correlation structure of the random eld of the variables For example, the means and standard deviations de ne Young s modulus and Poisson s ratios of particular regions in the nite element analysis and the loads are similarly described This information can then be used in any of the methods of s 14 17 In effect, the nite element code is being used in the same way that the stability analysis code was used in 14 This approach is an easy way to get an estimate of the reliability of a system, but at the expense of ignoring the spatial variation of the properties.

00401040 00401043 00401047 00401048 00401049 0040104D 0040104E 0040104F 00401053 00401055 00401057 0040105F 00401067 0040106F 00401077 0040107F 00401087 0040108F 00401097 0040109F 004010A3 004010A5 004010A8 004010AB 004010AD 004010B4 004010B6 004010B9 004010BB 004010BD 004010C0 sub mov push push mov push push mov xor xor mov mov mov mov mov mov mov mov mov lea mov add cmp ja jmp xor add jmp mov add jmp esp,28h edx,dword ptr [esp+2Ch] ebx ebp ebp,dword ptr [esp+38h] esi edi edi,dword ptr [esp+10h] eax,eax ebx,ebx dword ptr [esp+14h],1 dword ptr [esp+18h],8 dword ptr [esp+1Ch],4 dword ptr [esp+20h],6 dword ptr [esp+24h],2 dword ptr [esp+28h],9 dword ptr [esp+2Ch],3 dword ptr [esp+30h],7 dword ptr [esp+34h],5 ecx,[esp+14h] esi,dword ptr [ecx] esi,0FFFFFFFFh esi,8 004010A3 dword ptr [esi*4+401100h] dword ptr [edx],ebx ecx,18h 004010A3 edi,dword ptr [edx] ecx,8 004010A3

Listing 10.4 The data-processing function from Listing 10.2 transformed using an arraybased version of the table interpretation obfuscation method. (continued)

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