Isbn: 9783863598716 - tailoring individual algorithms for on-line problems (3 risultati)

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    • Lingua: Inglese

      Editore: Apprimus Verlag

      3863598717 / 9783863598716

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 39,00

      EUR 70,00 spedizione 
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      Taschenbuch. Condizione: Neu. Tailoring Individual Algorithms for On-Line Problems | Sebastian Schönitz | Taschenbuch | Englisch | Apprimus Verlag | EAN 9783863598716 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Apprimus Verlag Jul 2020, 2020

      3863598717 / 9783863598716

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

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      EUR 23,00 spedizione 
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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In our time it is important to solve optimization problems which get the needed data only over time. This thesis provides a framework to learn optimization algorithms just from a problem formulation without additional knowledge but with room to improve is more structure of the problem at hand is provided. Central points of this work are how structure can be defined and how to measure performance of learned algorithms. 358 pp. Englisch.

    • Lingua: Inglese

      Editore: Apprimus Verlag

      3863598717 / 9783863598716

      • Brossura
      • Print on Demand

      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

      Venditore con 5 stelle
      Contatta il venditore

      Condizione: Nuovo

      EUR 39,00

      EUR 63,30 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 2 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In our time it is important to solve optimization problems which get the needed data only over time. This thesis provides a framework to learn optimization algorithms just from a problem formulation without additional knowledge but with room to improve is more structure of the problem at hand is provided. Central points of this work are how structure can be defined and how to measure performance of learned algorithms.