Multiparadigm Constraint Programming Languages

Name: Multiparadigm Constraint Programming Languages
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642173295
Price: 38497 HUF
Availability: InStock

Szerző: Petra Hofstedt

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

38 497 Ft

Programming languages are often classified according to their paradigms, e.g. imperative, functional...

Információk a könyvről

Szerző

Petra Hofstedt

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2011

oldal

180

EAN

9783642173295

ISBN

3642173292

Enbook ID

01657081

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

459

Méretek

155 x 235 x 15

Teljes leírás

Programming languages are often classified according to their paradigms, e.g. imperative, functional, logic, constraint-based, object-oriented, or aspect-oriented. A paradigm characterizes the style, concepts, and methods of the language for describing situations and processes and for solving problems, and each paradigm serves best for programming in particular application areas. Real-world problems, however, are often best implemented by a combination of concepts from different paradigms, because they comprise aspects from several realms, and this combination is more comfortably realized using multiparadigm programming languages. This book deals with the theory and practice of multiparadigm constraint programming languages. The author first elaborates on programming paradigms and languages, constraints, and the merging of programming concepts which yields multiparadigm (constraint) programming languages. In the second part the author inspects two concrete approaches on multiparadigm constraint programming the concurrent constraint functional language CCFL, which combines the functional and the constraint-based paradigms and allows the description of concurrent processes; and a general framework for multiparadigm constraint programming and its implementation, Meta-S. The book is appropriate for researchers and graduate students in the areas of programming and artificial intelligence.

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