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The caller takes ownership of the array void SortL(CArrayFix<TSortPref>* aSortOrder) This method sorts the database After the method returns, the contact item identi ers can be accessed using the SortedItemsL() method Usually, it will be better to use a view rather than sort the whole database aSortOrder array of sort preferences The database is sorted by the rst sort preference Any identical matches are then sorted by the next sort preference and so on If the array is of zero length then the database is not sorted const CContactIdArray* SortedItemsL() This method returns an array of contact items sorted by SortL() The caller does not take ownership of the array The array remains valid only until the database is changed or until the database s Active Object runs If the caller wants the array after this then they need to take a copy of the array.

Consider the patterns HH, TH, HT , and TT for two tosses of a fair coin If you choose one of these patterns, I will choose another and then we toss a fair coin until one of these patterns occurs The winner is the person who chose the rstoccurring pattern For example, if you choose HH, I will choose TH If we see the sequence HTTTTH, then I win since the pattern TH occurred before the pattern HH My probability of beating you is 3/4! Here is why If the rst two tosses are HH, you win If the rst two tosses are TH, I win If the rst two tosses are HT then this can be followed by any number of T s, but eventually H will occur and I win If the rst two tosses are TT then this can be followed by any number of T s but eventually H will occur and I will win If you are to win, you must toss HH on the rst two tosses; this is the only way you can win and it has probability 1/4 If a T is tossed at any time, I will win, so my probability of winning is 3/4 The fact that the patterns HH, TH, HT , and TT are equally likely for a fair coin may be observed by a game player who may think that any choice is equally good is irrelevant; the choice of pattern is crucial, as is the fact that he is allowed to make the rst choice If you choose TT , then the only way you can win is by tossing two tails on the rst two tosses I will choose HT and I will win 3/4 of the time A sensible choice for you is either TH or HT, and then my probability of beating you is only 1/2 If we consider patterns with three tosses, as shown in the table above, my minimum probability of beating you is 2/3! (And if you do not choose well, I can increase that probability to 3/4 or 7/8!) This can be tried by simulation It is puzzling to note that no matter what pattern you choose, I will probably beat you This means that if we play the game twice, and I win in the rst game, then you can choose the pattern I chose on the rst game, and I can still probably beat you Probabilities then are not transitive, so if pattern A beats pattern B and pattern B beats pattern C, then it does not follow that pattern A will necessarily beat pattern C.

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The ontology ( amazonOntology ) describes books and shopping carts at Amazon. The description of the Web Service shows how concepts from the ontology are used in the Web Service description. The precondition in the example requires that there is an input of type string (concepts

void SetDbViewContactType(const TUid aUid) This method sets the type of contact items to be included in sorted views of the database This value is initialized to KUidContactItem when the database is opened This means that all CContactItem -derived types (cards, nonsystem templates, groups, own cards) are included in database views aUid speci es a contact type which should be one of the following: KUidContactCard (contact cards), KUidContactGroup (contact item groups), KUidContactOwnCard (own cards), KUidContactCardTemplate (templates which are not system templates, ie which have been added to the database), or KUidContactItem (all of the above) Contact Item Methods CContactItem* ReadMinimalContactL(TContactItemId aContactId) CContactItem* ReadMinimalContactLC(TContactItemId aContactId).

This apparent paradox, that probabilities are not transitive, continues with patterns involving patterns of length 3 We showed above the average waiting times for each of the eight patterns that can occur when a fair coin is tossed (Table 76) Now let us play the coin game again where A is the rst player and B is the second player We show the probabilities that B beats A in Table 77 Note that letting > means beats (probably) TTH > HTT > HHT > THH > TTH!

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