By Jules Desharnais, Ridha Khédri, Ali Mili (auth.), Prof. Dr. Ewa Orłowska, Prof. Dr. Andrzej Szałas (eds.)
ISBN-10: 3662003627
ISBN-13: 9783662003626
ISBN-10: 3790818283
ISBN-13: 9783790818284
This quantity addresses all present elements of relational equipment and their functions in desktop technology. It provides a extensive number of fields and matters during which theories of kin offer conceptual or technical instruments. The contributions handle such matters as relational equipment in programming, relational constraints, relational equipment in linguistics and spatial reasoning, relational modelling of uncertainty. All contributions give you the readers with new and unique advancements within the respective fields.
The reader therefore will get an interdisciplinary spectrum of the state-of-the-art of relational equipment and implementation-oriented strategies of difficulties regarding those areas.
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Additional info for Relational Methods for Computer Science Applications
Sample text
32 11 Barry Dwyer Other data representations Prolog lists have several drawbacks: only the head of a list may accessed efficiently, it is only possible to add elements at the head of a list, and lists must be processed sequentially. Even though a back-to-back list used as a queue has constant amortised cost per operation, backtracking over a worst-case operation may cause the average cost per operation to become proportional to the length of the list [8]. It is important to use data structures with better worst-case behaviours.
The methodology for program derivation. 2. We will specify the problem with fork-algebraic equations obtained from the first-order specification. 3. We will derive a generic algorithm for the generic problem using the design strategies presented. 4. We will solve two specific problems by using the generic algorithm. When a mathematician or computer scientist proves a theorem, she does it using convincing arguments rather than a formal calculus. It is nevertheless essential that these arguments are backed-up by a formal system.
One way to do this is by repeating their first arguments, making the sets into identity relations. Unfortunately, a set and the identity relation on it are not the same object, so this idea should be rejected. An alternative is to give the second argument a special value. This was the choice taken in Drusilla [3], but it lead to contexts where it was necessary to find the relational inverse of a set, which seems very inelegant. 5 Simple data structures In a language based on binary relations, only pair formation and set formation make sense as data structuring primitives.
Relational Methods for Computer Science Applications by Jules Desharnais, Ridha Khédri, Ali Mili (auth.), Prof. Dr. Ewa Orłowska, Prof. Dr. Andrzej Szałas (eds.)
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