Sequential Parallel Sparse Storage by Khan Muhammad (3 results)

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    • Language: English

      Published by LAP Lambert Academic Publishing, 2012

      3659001570 / 9783659001574

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Sequential and Parallel Sparse Storage Formats | A Comparative Study and Implementation of Different Sequential and Parallel Sparse Storage Formats | Muhammad Taimoor Khan | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659001574 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2012

      3659001570 / 9783659001574

      • Softcover
      • Print on Demand

      Seller: moluna, Greven, Germanymoluna

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Muhammad TaimoorLecturer COMSATS, PakistanTowards the goal of improving the efficiency of sparse matrices operation the major issue is of selection of the most appropriate technique that suits the matrix data best. A wrong c.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2012

      3659001570 / 9783659001574

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Towards the goal of improving the efficiency of sparse matrices operation the major issue is of selection of the most appropriate technique that suits the matrix data best. A wrong choice can lead to decreasing of efficiency in spite of all the resources we have. So providing with more number of techniques is of no use if there is no sufficient help provided for the selection of a technique. For this purpose all the implemented techniques were provided with a variety of matrices and the results were observed. On the basis of studying the matrix data organization and the behavior of each of these techniques on it, software Technique Detection Software for Sparse Matrices is implemented. It will help the user to suggest the best suitable technique for a particular matrix after analyzing the matrix data. It will suggest the best technique in case of processing efficiency and storage size.