Download Practical Aspects of Declarative Languages: 4th by Catherine Meadows (auth.), Shriram Krishnamurthi, C. R. PDF

By Catherine Meadows (auth.), Shriram Krishnamurthi, C. R. Ramakrishnan (eds.)

Declarative languages construct on sound theoretical bases to supply appealing frameworks for program improvement. those languages were succe- totally utilized to a wide selection of real-world occasions together with database m- agement, energetic networks, software program engineering, and decision-support structures. New advancements in conception and implementation disclose clean possibilities. while, the applying of declarative languages to novel difficulties increases various fascinating learn matters. those recognized questions comprise scalability, language extensions for program deployment, and programming environments. hence, functions force the development within the concept and imp- mentation of declarative structures, and in flip bene?t from this growth. The overseas Symposium on sensible purposes of Declarative L- guages (PADL) presents a discussion board for researchers, practitioners, and implementors of declarative languages to switch rules on present and novel software - eas and at the requisites for e?ective use of declarative platforms. The fourth PADL symposium was once held in Portland, Oregon, on January 19 and 20, 2002.

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Additional resources for Practical Aspects of Declarative Languages: 4th International Symposium, PADL 2002 Portland, OR, USA, January 19–20, 2002 Proceedings

Example text

But no new knowledge about the primitives for our single-threaded object MS. Obviously, if the fringe of x contains five or more elements, the initial contents of MS is irrelevant. That is, an easy corollary of the above, derived via a lemma about lastn and append, is 5 The equality by itself is not a theorem. If (ptr MS) exceeds four, then the insert on the left-hand side inserts x beyond the end of memory and then show on the left-hand side collects the first five elements of the buffer, ignoring the x altogether.

Now suppose we wish to scan a binary tree and keep track of the last five tips seen. We can write this as follows: (defun scan (x MS) (declare (xargs :stobjs (MS))) (if (consp x) (sequentially (scan (car x) MS) (scan (cdr x) MS)) (insert x MS))) Let τ be ’(((A . B) . C) . (D . ((E . (F . G)) . (H . , I. Then (show (scan τ MS)) is (E F G H I). No new storage is allocated to compute (scan τ MS). We can prove the following theorem, (defthm show-scan (implies (< (ptr MS) 5) (equal (show (scan x MS)) (lastn 5 (append (show MS) (fringe x)))))) where (lastn i x) returns the last n elements of list x and (defun fringe (x) (if (consp x) (append (fringe (car (fringe (cdr (list x))) x)) x))) Note that this theorem “abuses” our syntactic restrictions on the use of MS in a completely unavoidable way.

It is also possible sometimes that there are no solutions to the constraints, and the modeler is Modeling Engineering Structures with Constrained Objects 43 interested in understanding the cause of this inconsistency. This is also referred to as an over-constrained system [5] in the literature. A constraint violation could occur due to an incorrectly stated constraint, or an inconsistent value assigned to an attribute and can be corrected with the help of the programer. In conjunction with a visual representation for constrained objects, it is possible to develop techniques showing where the constraint violation occurred.

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