Download Algorithms and Data Structures: 5th International Workshop, by Bernard Chazelle (auth.), Frank Dehne, Andrew Rau-Chaplin, PDF

By Bernard Chazelle (auth.), Frank Dehne, Andrew Rau-Chaplin, Jörg-Rüdiger Sack, Roberto Tamassia (eds.)

This e-book constitutes the refereed court cases of the fifth overseas Workshop on Algorithms and knowledge constructions, WADS'97, held in Nova Scotia, Halifax, Canada, in August 1997.
The 37 revised complete papers awarded have been rigorously chosen from a complete of eighty one submissions. additionally incorporated are 4 abstracts and one complete contribution similar to the invited talks. one of the themes lined are facts buildings and algorithmic points in quite a few parts like computational geometry, graph idea, networking, load balancing, optimization, approximation, sorting, development matching, etc.

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Extra resources for Algorithms and Data Structures: 5th International Workshop, WADS'97 Halifax, Nova Scotia, Canada August 6–8, 1997 Proceedings

Example text

Maintaining referential integrity: Many database systems provide features that help to maintain referential integrity—the correctness of the data, as mentioned earlier. They will report an error when a query or update would break the relational model rules. What Is PostgreSQL? Now we are in a position to say what PostgreSQL actually is. It is a DBMS that incorporates the relational model for its databases and supports the SQL standard query language. PostgreSQL also happens to be very capable and very reliable, and it has good performance characteristics.

For example, a database can manage multiple simultaneous users. Let’s first look at storing our simple, single-sheet customer list in a database, to see what benefits this might have. Later in the chapter, we will extend this and see how PostgreSQL can help us solve our customer orders problem. As we saw in the previous chapter, databases are made up of tables, or in more formal terminology, relations. We will stick to using the term tables in this book. A table contains rows of data (more formally called tuples), and each data row consists of a number of columns, or attributes.

All tuples must follow the same pattern, in that they all have the same number and types of components. 34} Each of these tuples has three attributes: a country name (string), a currency (string), and an exchange rate (a floating-point number). In a relational database, all records that are added to this set, or table, must follow the same form, so the following are disallowed: {"Germany", "DEM"} This has too few attributes. {"Switzerland", "CHF", "French", "German", "Italian", "Romansch"} This has too many attributes.

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