ISBN: 9783540594369 - boolean functions and computation models (texts in theoretical computer science. an eatcs series) (9 Ergebnisse)

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Springer, Berlin, 2002. XIV, 601 pages with many graphics, hard cover, (stamp on intent)--- 1055 Gramm.

2002. 616 p. Unread book. Very good condition. Minimum traces of storage. 9783540594369 Sprache: Englisch Gewicht in Gramm: 839 Hardcover: 23.4 x 3.5 x 15.6 cm.

Zustand: New. In English.

Zustand: New. A survey of the present state of the art by internationally well-known authorsFocus on fast parallel computationIncludes numerous exercises ranging in difficultyThe two internationally renowned authors elucidate the structure of fast paralle.

Buch. Zustand: Neu. Neuware - The foundations of computational complexity theory go back to Alan Thring in the 1930s who was concerned with the existence of automatic procedures deciding the validity of mathematical statements. The first example of such a problem was the undecidability of the Halting Problem which is essentially the question of debugging a computer program: Will a given program eventu ally halt Computational complexity today addresses the quantitative aspects of the solutions obtained: Is the problem to be solved tractable But how does one measure the intractability of computation Several ideas were proposed: A. Cobham [Cob65] raised the question of what is the right model in order to measure a 'computation step' , M. Rabin [Rab60] proposed the introduction of axioms that a complexity measure should satisfy, and C. Shannon [Sha49] suggested the boolean circuit that computes a boolean function. However, an important question remains: What is the nature of computa tion In 1957, John von Neumann [vN58] wrote in his notes for the Silliman Lectures concerning the nature of computation and the human brain that . . . logics and statistics should be primarily, although not exclusively, viewed as the basic tools of 'information theory'. Also, that body of experience which has grown up around the planning, evaluating, and coding of complicated logical and mathematical automata will be the focus of much of this information theory. The most typical, but not the only, such automata are, of course, the large electronic computing machines.…