62,99 €
83,99 €
-25% su kodu: ENG25
Computational Technologies
Computational Technologies
62,99
83,99 €
  • Išsiųsime per 10–14 d.d.
This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively inde…
  • Leidėjas:
  • Metai: 2015
  • ISBN-10: 3110359944
  • ISBN-13: 9783110359947
  • Formatas: 16.9 x 24.1 x 2 cm, minkšti viršeliai
  • Kalba: Anglų
  • Extra -25 % nuolaida šiai knygai su kodu: ENG25

Computational Technologies (el. knyga) (skaityta knyga) | knygos.lt

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This book discusses questions of numerical solutions of applied problems on parallel computing systems.

Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

EXTRA 25 % nuolaida su kodu: ENG25

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83,99 €
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  • Leidėjas:
  • Metai: 2015
  • ISBN-10: 3110359944
  • ISBN-13: 9783110359947
  • Formatas: 16.9 x 24.1 x 2 cm, minkšti viršeliai
  • Kalba: Anglų Anglų

This book discusses questions of numerical solutions of applied problems on parallel computing systems.

Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

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