Constraint Databases - download pdf or read online

By Gabriel Kuper, Leonid Libkin, Jan Paredaens

ISBN-10: 3642085423

ISBN-13: 9783642085420

ISBN-10: 366204031X

ISBN-13: 9783662040317

This booklet is the 1st complete survey of the sphere of constraint databases. Constraint databases are a pretty new and energetic zone of database learn. the major proposal is that constraints, resembling linear or polynomial equations, are used to symbolize huge, or maybe endless, units in a compact approach. the power to accommodate limitless units makes constraint databases rather promising as a know-how for integrating spatial and temporal info with usual re­ lational databases. Constraint databases deliver thoughts from various fields, resembling common sense and version thought, algebraic and computational geometry, in addition to symbolic computation, to the layout and research of knowledge versions and question languages. The ebook is a collaborative attempt concerning many authors who've con­ tributed chapters on their fields of craftsmanship. regardless of this, the ebook is designed to be learn as a complete, rather than a suite of person surveys. In par­ ticular, the terminology and the fashion of presentation were standardized, and there are a number of cross-references among the chapters. the assumption of constraint databases is going again to the past due Paris Kanellakis.

Show description

Read Online or Download Constraint Databases PDF

Similar compilers books

S. Tucker Taft, Robert A. Duff, Randall L. Brukardt, Erhard's Ada 2005 Reference Manual. Language and Standard Libraries: PDF

The Ada 2005 Reference handbook combines the overseas regular ISO/IEC 8652/1995(E) for the programming language Ada with the corrections of the Technical Corrigendum 1 licensed through ISO in February 2001 and with the modification 1 anticipated to be licensed by means of ISO in overdue 2006 or early 2007. either the Technical Corrigendum 1 and the modification 1 record purely the alterations made to the foreign usual.

Download e-book for iPad: Introduction to Assembly Language Programming For Pentium by Sivarama P. Dandamudi

This up-to-date textbook introduces readers to meeting and its evolving function in machine programming and layout. the writer concentrates the revised version on protected-mode Pentium programming, MIPS meeting language programming, and use of the NASM and SPIM assemblers for a Linux orientation. the point of interest is on delivering scholars with an organization snatch of the most positive factors of meeting programming, and the way it may be used to enhance a pcs functionality.

Download e-book for iPad: Text Analytics with Python: A Practical Real-World Approach by Dipanjan Sarkar

Derive beneficial insights out of your info utilizing Python. research the ideas with regards to common language processing and textual content analytics, and achieve the talents to grasp which method is most suitable to unravel a selected challenge. textual content Analytics with Python teaches you either uncomplicated and complicated recommendations, together with textual content and language syntax, constitution, semantics.

Extra resources for Constraint Databases

Example text

I=l - If n encodes an atomic formula of the form t 1 = t 2 , then perform Formula:= Formula U {(n,x,y) 1\ I Counter(n) 2 2 i=l i=l 1\ Counteri(ni) 1\ 3z(l\ Term(ni, x, y, z)))} . 3n13n2( - If n encodes an atomic formula of the form p( h, ... , tr), then perform Formula:= Formula U {(n,x,y) r I Counter(n) 1\ 3nl .. 3nr(l\ Counteri(ni) i=l r 1\ 3zl ... 3zr( 1\ Term(ni, x, y, Zi) 1\ p(z1, ... , Zr )))} . i=l - If n encodes a formula of the form 'lj; 1 V 'lj; 2 , then, supposing the encodings of subformulae 'lj; 1 and 'lj; 2 are stored in counter variables Counter 1 and Counter 2 respectively, perform Formula:= Formula U {(n,x,y) I Counter(n) 2 1\ 3n13n2(/\ Counteri(ni) 1\ i=l 2 (V Formula(ni,x,y)))}.

8 Historical Note The research into constraint databases started with the goal of defining a database version of CLP, along the same lines as the definition of DATALOG as a database version of Prolog. The original goal was to use bottom-up techniques for processing DATALOG rules in a constraint setting, thus making it possible to use CLP programs in applications where data could be represented as large sets of constraints (for example, spatial data) . As the research progressed it turned out that the problem of handling recursion in 16 Kuper, Libkin, and Paredaens the presence of constraints did not lend itself to a good solution, and as a result the field developed in a different direction, focusing primarily on the nonrecursive case.

If the relational calculus over M can express finiteness, then constraint-satisfiability (and equivalence) of relational calculus formulae over M is undecidable for any schema containing at least one relation name of arity 2: 2. Proof. Let

Download PDF sample

Constraint Databases by Gabriel Kuper, Leonid Libkin, Jan Paredaens


by Jason
4.5

Rated 4.13 of 5 – based on 47 votes