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In den Warenkorb601 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9783540594369 Sprache: Englisch Gewicht in Gramm: 990.
Anbieter: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Deutschland
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In den Warenkorb2002. 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.
Anbieter: Celler Versandantiquariat, Eicklingen, Deutschland
Verbandsmitglied: GIAQ
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In den WarenkorbSpringer, Berlin, 2002. XIV, 601 pages with many graphics, hard cover, (stamp on intent)--- 1055 Gramm.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 87,36
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In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 91,16
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In den WarenkorbZustand: New. In.
Verlag: Springer Berlin Heidelberg, 2002
ISBN 10: 3540594361 ISBN 13: 9783540594369
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 97,79
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In den WarenkorbZustand: 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.
Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2002
ISBN 10: 3540594361 ISBN 13: 9783540594369
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 121,59
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In den WarenkorbBuch. 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.