Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Solving Ordinary Differential Equations in Python

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • بيانات النشر:
      Cham: Springer Nature; Springer Nature Switzerland, 2023.
    • الموضوع:
      2023
    • Collection:
      Books
      Imported or submitted locally
    • Original Material:
      eb9ac1c9-bf74-4c3a-b0a2-e945a77d7280
      6c6992af-b843-4f46-859c-f6e9998e40d5
      15
    • نبذة مختصرة :
      This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solver requires fundamental insight into how the solvers work. This book will provide exactly that insight, to enable students and researchers to select the right solver for any ODE problem of interest, or implement their own solvers if needed. The presentation is compact and accessible, and focuses on the large and widely used class of solvers known as Runge-Kutta methods. Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python.
    • Contents Note:
      ...
    • File Description:
      application/pdf
    • ISBN:
      978-3-031-46768-4
      978-3-031-46767-7
      3-031-46768-X
      3-031-46767-1
    • Relation:
      Simula SpringerBriefs on Computing
    • الرقم المعرف:
      10.1007/978-3-031-46768-4
    • Rights:
      URL: http://creativecommons.org/licenses/by/4.0/
    • Notes:
      ONIX_20231113_9783031467684_32

      OCN: 1409433745

      https://library.oapen.org/handle/20.500.12657/85081

      https://link.springer.com/978-3-031-46768-4
    • الرقم المعرف:
      edsoap.20.500.12657.85081