ISBN: 9783540594369 - boolean functions and computation models (18 risultati)

Condizione: 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. Condizione: Very Good. Cover and edges may have some wear.

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Condizione: 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.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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

Condizione: 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.

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.

Condizione: New.

Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: 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. Condizione: 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.…