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II Update the t a i l u n t i l it really p o i n t s to the end while ( next ! = n U l l ) { Interloc ked Compa r e E x c hange ( ref m_t a i l , next , t a i l ) j tail m_t a i l j next = t a i l m_next j } ret u r n t a i l j } p u b l i c void E nq u e u e ( T obj ) { II C reate a new node Node newNode = new Node ( ) j n ewNode m_val = obj j II Add to t h e t a i l end Node t a i l j do { t a i l = Get T a i lAndCatchUp ( ) j newNode m_next = t a i l m_next j wh i l e ( I nterlocked Comp a re E x c hange ( ref t a i l m_next , newNode , n U l l ) ! = n U l l ) j

We should check that f2 (x) is a probability density function The function is always positive The easiest way to nd its total area is to use the area of two triangles Each of these have base of length 1 and height 1 as well, so the total area is 2 1/2 1 1 = 1; so f2 (x) is a probability density function A graph of f2 (x) is shown in Figure 84

If it fa i l s , we ' l l do it late r II Try to swing t h e t a i l Interloc ked Compa reE x c h a nge ( ref m_t a i l , newNode , t a i l ) ; } p u b l i c bool TryOeq u e u e ( out T va l ) { while ( t r u e ) { Node head Node next if ( next { val defa u l t ( T ) ; ret u r n f a l s e ; } else { if ( I n t e r l o c k e d Comp a r e E x c h a nge ( ref m_head , n e xt , head ) head )

== = ==

(2002)

m_hea d ; head m_next ; nUl l )

Since areas represent probabilities, using the area of a triangle, we nd that P(1/2 X 3/2) = 3/4, so the sums do in fact cluster around their expected value If we increase the number of spins to 3 and record the sum, it can be shown that the probability density function for X = X1 + X2 +X3 is 1 x2 for 0 x 1 2 3 2 3 f3 (x) = for 1 x 2 x 4 2 1 (x 3)2 for 2 x 3 2 This is also a probability density function, although nding the total area, or nding probabilities by nding areas, is usually done using calculus We can nd here, for example, that P(1/2 x 5/2) = 23/24 Probabilities, or areas, are now dif cult for us to nd and we cannot do this by simple geometry However, we will soon nd a remarkable approximation to this probability density function that will enable us to determine areas and hence probabilities A graph of f3 (x) is shown in Figure 85 The graph in Figure 85 resembles a bell-shaped or normal curve that occurs frequently in probability and statistics We have encountered this curve before

{ II II II II II Note : t h i s read wou l d be u n s afe with a c++ implementat ion Anot her t h read may have dequeued a n d f reed ' next ' by t h e t ime we get here , at wh i c h point we wou l d t ry to derefe r e n c e a bad pointe r Bec a u s e we ' re i n a GC - b a s e d system ,

II we ' re OK doing t h i s - - GC keeps it a l ive val next m_va l ; ret u r n t r u e ;

Form 1116 (2002)

p u b l i c bool TryPeek ( out T v a l ) { Node c u r r if ( c u r r { val defa ult ( T ) ; ret u r n f a l s e ; else { val c u r r m_va l ; ret u r n t r u e ; } }