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Book Towards Hybrid Intensional Programming with JLucid  Objective Lucid  and General Imperative Compiler Framework in the GIPSY  microform

Download or read book Towards Hybrid Intensional Programming with JLucid Objective Lucid and General Imperative Compiler Framework in the GIPSY microform written by Serguei A. Mokhov and published by Serguei A. Mokhov. This book was released on 2006 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Towards a Multi tier Runtime System for GIPSY

Download or read book Towards a Multi tier Runtime System for GIPSY written by Bin Han and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intensional programming implies declarative programming, in the sense of Lucid, based on denotational semantics where the declarations are evaluated in an inherent multi-dimensional context space. The General Intensional Programming System (GIPSY) is a hybrid multi-language programming platform and a demand-driven execution environment. GIPSY aims at the long-term investigation into the possibilities of Intensional Programming. The GIPSY's compiler, GIPC, is based on the notion of Generic Intensional Programming Language (GIPL) which solved the problem of language-independence of the runtime system by allowing a common representation for all compiled programs, the Generic Eduction Engine Resources (GEER). In this thesis, we discuss the solution to GIPSY's Runtime System. The Multi-Tier framework which consists of Demand Generator Tier (DGT), Demand Store Tier (DST) and Demand Worker Tier (DWT), offers demand-driven, distributed execution and technology independent manners by integrating the previous research on the demand migration middle-ware implemented by Jini and Java Message Service (JMS).

Book Computational Combinatorial Optimization

Download or read book Computational Combinatorial Optimization written by Michael Jünger and published by Springer Science & Business Media. This book was released on 2001-11-21 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This tutorial contains written versions of seven lectures on Computational Combinatorial Optimization given by leading members of the optimization community. The lectures introduce modern combinatorial optimization techniques, with an emphasis on branch and cut algorithms and Lagrangian relaxation approaches. Polyhedral combinatorics as the mathematical backbone of successful algorithms are covered from many perspectives, in particular, polyhedral projection and lifting techniques and the importance of modeling are extensively discussed. Applications to prominent combinatorial optimization problems, e.g., in production and transport planning, are treated in many places; in particular, the book contains a state-of-the-art account of the most successful techniques for solving the traveling salesman problem to optimality.