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Computer Algebra in Scientific Computing: 23rd International Workshop, CASC 2021, Sochi, Russia, September 1317, 2021, Proceedings 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 463 pages, kõrgus x laius: 235x155 mm, kaal: 741 g, 40 Illustrations, color; 22 Illustrations, black and white; XXI, 463 p. 62 illus., 40 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 12865
  • Ilmumisaeg: 17-Aug-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030851648
  • ISBN-13: 9783030851644
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Computer Algebra in Scientific Computing: 23rd International Workshop, CASC 2021, Sochi, Russia, September 1317, 2021, Proceedings 1st ed. 2021Suurem pilt
  • Formaat: Paperback / softback, 463 pages, kõrgus x laius: 235x155 mm, kaal: 741 g, 40 Illustrations, color; 22 Illustrations, black and white; XXI, 463 p. 62 illus., 40 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 12865
  • Ilmumisaeg: 17-Aug-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030851648
  • ISBN-13: 9783030851644
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030851644.html
Märksõnad:
This book constitutes the proceedings of the 23rd International Workshop on Computer Algebra in Scientific Computing, CASC 2021, held in Sochi, Russia, in September 2021. The 24 full papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. The papers cover theoretical computer algebra and its applications in scientific computing.

Arvustused

Strong interplay between the abstract exposition, which includes the relevant theorems as well as their proofs, and the practical utilization of those concepts in Mathematica is certainly a remarkable feature of this textbook. Overall, the book is very well written and the approach to provide examples as actual Mathematica sessions is commendable. (Andreas Maletti, zbMATH 1484.68004, 2022)

Symbolic and algebraic algorithms.- Computer algebra systems.- Mathematical software.- Modeling and simulation.- Design and analysis of algorithms.- Computability.- Complexity.- Elliptic curves.- Numerical analysis.- Differential equations.- Applications to natural sciences and engineering.- Parallel computing.