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We can continue this by calculating n 3 or n 3 and n 4 or n 4 = n 3 n(n 1)(n 2) n(n 1)(n 2) (n 3) = 4 3 2 4 3 2

Specifying a mutex as a registration's object is usually a bad idea Mutexes have thread affinity, meaning that the wait thread that performs a wait will be considered the owner of the mutex But in this case, all the wait thread does is turn around and queue the callback to run on a thread pool callback thread The thread that will run the callback doesn' t own the mutex at all and therefore cannot release it There is no way to work around

C * pC = ; const int * pCdl = &pC - >d ; II ok ! * p C - >d = 42 ; II c omp i l e r e r ro r : c a n not write to c o n s t int * pCd2 = &pC - > d ; I I comp i l e r error : non - const pointer to c o n s t field int * pCd3 = con st_c a s t < int * > ( &pC - >d ) ; I I s u c ceed s !

Note The adjustment factors may be reduced by one half cent (eg, 750 to 7495; 6938 to 69375) to eliminate separate half rounding operations The first two brackets of these tables may be combined, provided zero withholding is used to credit withholding amounts computed by the

Casting away c a n st i s a generally frowned upon practice, but i s some times necessary And, a c a n st member function can actually modify state, but only if those fields have been marked with the mut a b l e modifier Using this modifier is favored over casting Despite these limitations, liberal and structured use of c a n s t can help build up a stronger and more formally checked notion of immutability in your programs Some of the best code bases I have ever worked on have used c a n s t pervasively, and in each case, I have found it to help tremendously with the maintainability of the system, even with concurrency set aside

To take a speci c example, suppose n = 5 Since used repeatedly to nd 5 2 or 5 2 and 5 3 or 5 3 = 3 10 = 10 3 = 5 2 5 2+1 2 = 4 5 = 10 2 = 5 1 5 1+1 1

Dynamic Single Assignment Verification In most concurrent systems, single assignment has been statically enforced, and C# and C++ have both taken similar approaches It's possible to dynamically enforce single assign ment too You would just have to reject all subsequent attempts to set the variable after the first (perhaps via an exception), and handle the case where threads attempt to use an uninitialized variable Implementing this does require some understanding of the synchronization topics about to be discussed, particularly if you wish the end result to be efficient; some sample implementation approaches can be found in research papers (see Further Reading, Drejhammar, Schulte)

When shared mutable state is present, synchronization is the only remaining technique for ensuring correctness As you might guess, given that there's an entire chapter in this book dedicated to this topic- 1 1 , Concurrency Hazards-implementing a properly synchronized system is complicated In addition to ensuring correctness, synchronization often is necessary for behavioral reasons: threads in a concurrent system often depend on or com municate with other threads in order to accomplish useful functionality The term synchronization is admittedly overloaded and too vague on its own to be very useful Let's be careful to distinguish between two different, but closely related, categories of synchronization, which we'll explore in this book: 1 Data synchronization Shared resources, including memory, must be protected so that threads using the same resource in parallel do

combined bracket rates, eg, $0 to $51 and $51 to $164 combined to read, Over $0, But not over $164 The employee s excess wage (gross wage less amount for allowances claimed) is used with the applicable percentage rates and subtraction factors to calculate the amount of income tax withheld

.

and we could continue this When the numbers become large, it is a distinct advantage not to have to calculate the large factorials involved We continue now with some probability distribution functions