Isbn: 9786130342937 - probabilistic method: interactive proof system, randomized algorithm, monte carlo method, pseudorandomness, constructive proof, combinatorics, paul erdős, probability (3 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller E.K. Jan 2010, 2010

    6130342934 / 9786130342937

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! The probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul Erd s, for proving the existence of a prescribed kind of mathematical object. It works by showing that if one randomly chooses objects from a specified class, the probability that the result is of the prescribed kind is more than zero. Although the proof uses probability, the final conclusion is determined for certain, without any possible error. This method has now been applied to other areas of mathematics such as number theory, linear algebra, and real analysis. Englisch.

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    Taschenbuch. Condizione: Neu. Probabilistic Method | Interactive Proof System, Randomized Algorithm, Monte Carlo Method, Pseudorandomness, Constructive Proof, Combinatorics, Paul Erd¿s, Probability | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130342937 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul Erd s, for proving the existence of a prescribed kind of mathematical object. It works by showing that if one randomly chooses objects from a specified class, the probability that the result is of the prescribed kind is more than zero. Although the proof uses probability, the final conclusion is determined for certain, without any possible error. This method has now been applied to other areas of mathematics such as number theory, linear algebra, and real analysis.