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lists of things allow us to group associated items together, for example a shopping list; sorting items into order can make it possible to locate a single item from a large collection more quickly, for example, a number from the phone book; cataloguing and cross-referencing separate items can make it easy to locate items by various categories, and to perform open-ended searches among them without having to go directly to large numbers of individual items, for example consulting the main catalogue of a library to locate books on Visual Basic programming; collecting similar items into groups makes it possible to perform batch processing on them, manipulating each in a similar way, for example, generating an automated mailing list from a list of customers names and addresses; categorizing items according to one or other of their attributes simpli es the job of isolating some of them that have something in common, for example, dental patients who have not been for a check-up for more than six months

On the other hand, local variables with the same name may be declared in two separate blocks or for statements neither of which contains the other Thus:

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class Test { public static void main(String[] args) { for (int i = 0; i < 10; i++) Systemoutprint(i + " "); for (int i = 10; i > 0; i--) Systemoutprint(i + " ");

This restriction helps to detect some otherwise very obscure bugs A similar restriction on shadowing of members by local variables was judged impractical, because the addition of a member in a superclass could cause subclasses to have to rename local variables Related considerations make restrictions on shadowing of local variables by members of nested classes, or on shadowing of local variables by local variables declared within nested classes unattractive as well Hence, the following example compiles without error:

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To impose some form of organization on a set of data, we need to be able to work with multiple items collectively Typically, most computerized forms of data organization are based on the idea of lists of items A number of the methods and constraints we use to organize lists of information work just as effectively in computer systems For example, if we want to be able to nd an item from a list ef ciently, it can help if the list is sorted into some order (eg the standard phone book does this) On the other hand, if a list is to be updated frequently, having items necessarily stored in order can make the task of adding an item to a list dif cult Imagine the problem of adding a new item to a 1000 element list, where its natural location is second in the list Unless some additional free space has been built in to the list, the operation could involve moving 999 of the current list items to make room for the new one Another problem that can upset an otherwise ef cient system for storing data is that of space allocation The easiest way to store multiple items of data is to create a slot for each item For example, we might use pigeonholes on a wall to distribute items of mail to the staff of a company; each person s mail is placed into a separate pigeonhole However, if the company grows unexpectedly, we may reach a situation where there are more members of staff than there are pigeonholes to store their mail in In this case, we are faced with the very expensive prospect of adding new pigeonholes to accommodate the new staffs mail: the analogous computer-based system in which the number of data items outgrows the number of spaces available can be similarly expensive It seems that whatever strategy we use to organize data will have some drawbacks: storage speed, retrieval speed, the need to correctly anticipate the maximum number of items; these and other problems make the issue of data organization, and the data structures this depends on, a central issue in computer programming.

Systemoutprintln(); } }

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compiles without error and, when executed, produces the output:

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