Isbn: 9783764308186 - automatic coding: choice of data structures (interdisciplinary systems research) (6 Ergebnisse)

Broschiert. Zustand: Gut. 108 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 220. …

Softcover. Zustand: Good. 1st Edition. 108 p. [INTERDISCIPLINARY SYSTEMS RESEARCH / INTERDISZIPLINÄRE SYSTEMFORSCHUNG ; 16].

Zustand: New. In English.

Paperback. Zustand: Brand New. 1976 edition. 124 pages. 9.25x6.10x0.26 inches. In Stock.

Zustand: New. Series: Interdisciplinary Systems Research. Num Pages: 117 pages, biography. BIC Classification: YQS. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 7. Weight in Grams: 201. . 1976. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1.0 2 information structures, and the runtime efficiency available using lower level data structures. We believe these runtime inefficiencies can be remedied by providing a library of representations for the information structures and a user assisted automatic system to choose appropriate elements from this library for the user's programs. The main problems in such an automatic approach are: 1). Building a library of representations; 2). Characterizing the properties of these representations; 3). understanding how the user's program actually uses the abstract information structures; and -4). efficiently matching the user program needs with the properties of the known representations. The research reported here is an attempt to demonstrate the feasibility of such automatic representation selection. We allow the user to express data in terms of relations, sets, and sequences. Our system then obtains information by analysis of the program, execution statement profiles and interrogation of the user. Using that information, the system selects efficient (in terms of time and space) low level implementations for the user's information structures from a fixed library of information structure representations. Though we have considered only a few abstract information structures (those available in our programming language, SAIL) we believe the techniques used in this system are generally applicable.…